Model training requires a large amount of labeled data. Therefore, before training a model, label data. ModelArts offers data labeling functions to assist with this process.
-Manual Labeling
Create a labeling job based on the dataset type. ModelArts supports the following types of labeling jobs:
-- Image
- Image classification: identifies a class of objects in images.
- Object detection: identifies the position and class of each object in an image.
- Image segmentation: segments an image into different areas based on objects in the image.
- Audio
- Sound classification: classifies and identifies different sounds.
- Speech labeling: labels speech content.
- Speech paragraph labeling: segments and labels speech content.
- Text
- Text classification: assigns labels to text according to its content.
- Named entity recognition: assigns labels to named entities in text, such as time and locations.
- Text triplet: assigns labels to entity segments and entity relationships in the text.
- Video
Video labeling: identifies the position and class of each object in a video. Only the MP4 format is supported.
+Model training requires a large amount of labeled data. Therefore, before training a model, label data. ModelArts offers data labeling functions to assist with this process.
+-Manual Labeling
Create a labeling job based on the dataset type. ModelArts supports the following types of labeling jobs:
+- Image
- Image classification: identifies a class of objects in images.
- Object detection: identifies the position and class of each object in an image.
- Image segmentation: segments an image into different areas based on objects in the image.
- Audio
- Sound classification: classifies and identifies different sounds.
- Speech labeling: labels speech content.
- Speech paragraph labeling: segments and labels speech content.
- Text
- Text classification: assigns labels to text according to its content.
- Named entity recognition: assigns labels to named entities in text, such as time and locations.
- Text triplet: assigns labels to entity segments and entity relationships in the text.
- Video
Video labeling: identifies the position and class of each object in a video. Only the MP4 format is supported.
Dataset Functions
Dataset functions vary depending on dataset types. For details, see Table 1.
+Dataset Functions
Dataset functions vary depending on dataset types. For details, see Table 1.
-Table 1 Functions supported by different types of datasets Dataset Type
+Table 1 Functions supported by different types of datasets Dataset Type
Labeling Type
+Labeling Type
Manual Labeling
+Manual Labeling
Image
+Image
Image classification
+Image classification
Yes
+Yes
Object detection
+Object detection
Yes
+Yes
Image segmentation
+Image segmentation
Yes
+Yes
Audio
+Audio
Sound classification
+Sound classification
Yes
+Yes
Speech Labeling
+Speech Labeling
Yes
+Yes
Speech Paragraph Labeling
+Speech Paragraph Labeling
Yes
+Yes
Text
+Text
Text classification
+Text classification
Yes
+Yes
Named entity recognition
+Named entity recognition
Yes
+Yes
Text Triplet
+Text Triplet
Yes
+Yes
Videos
+Videos
Video Labeling
+Video Labeling
Yes
+Yes
Free format
+Free format
-
+-
-
+-
Table
+Table
-
+-
-
+-
Manual Labeling
diff --git a/docs/modelarts/umn/datalabel-modelarts_0004.html b/docs/modelarts/umn/datalabel-modelarts_0004.html index fdeecc4e..d87ec459 100644 --- a/docs/modelarts/umn/datalabel-modelarts_0004.html +++ b/docs/modelarts/umn/datalabel-modelarts_0004.html @@ -1,146 +1,146 @@ - +Creating a Labeling Job
-Model training requires a large amount of labeled data. Therefore, before training a model, label data. You can create a manual labeling job labeled by one person or by a group of persons (team labeling), or enable auto labeling to quickly label images. You can also modify existing labels, or delete them and re-label.
-Labeling Job Types
Create a labeling job based on the dataset type. ModelArts supports the following types of labeling jobs:
-- Image
- Image classification: identifies a class of objects in images.
- Object detection: identifies the position and class of each object in an image.
- Image segmentation: segments an image into different areas based on objects in the image.
- Audio
- Sound classification: classifies and identifies different sounds.
- Speech labeling: labels speech content.
- Speech paragraph labeling: segments and labels speech content.
- Text
- Text classification: assigns labels to text according to its content.
- Named entity recognition: assigns labels to named entities in text, such as time and locations.
- Text triplet: assigns labels to entity segments and entity relationships in the text.
- Videos
Video labeling: identifies the position and class of each object in a video. Only the MP4 format is supported.
+Model training requires a large amount of labeled data. Therefore, before training a model, label data. You can create a manual labeling job labeled by one person or by a group of persons (team labeling), or enable auto labeling to quickly label images. You can also modify existing labels, or delete them and re-label.
+-Labeling Job Types
Create a labeling job based on the dataset type. ModelArts supports the following types of labeling jobs:
+- Image
- Image classification: identifies a class of objects in images.
- Object detection: identifies the position and class of each object in an image.
- Image segmentation: segments an image into different areas based on objects in the image.
- Audio
- Sound classification: classifies and identifies different sounds.
- Speech labeling: labels speech content.
- Speech paragraph labeling: segments and labels speech content.
- Text
- Text classification: assigns labels to text according to its content.
- Named entity recognition: assigns labels to named entities in text, such as time and locations.
- Text triplet: assigns labels to entity segments and entity relationships in the text.
- Videos
Video labeling: identifies the position and class of each object in a video. Only the MP4 format is supported.
Prerequisites
Before labeling data, create a dataset.
+-Prerequisites
Before labeling data, create a dataset.
Procedure
- Log in to the ModelArts management console. In the navigation pane on the left, choose Data Management > Label Data.
- On the Data Labeling page, click Create Labeling Job in the upper right corner. On the displayed page, create a labeling job.
- Enter basic information about the labeling job, including Name and Description.
- Select a labeling scene and type as required.
- Set the parameters based on the labeling job type. For details, see the parameters of the following labeling job types: -
- Click Create in the lower right corner of the page.
After the labeling job is created, the data labeling management page is displayed. You can perform the following operations on the labeling job: start auto labeling, publish new versions, modify the labeling job, and delete the labeling job.
+-Procedure
- Log in to the ModelArts management console. In the navigation pane on the left, choose Data Management > Label Data.
- On the Data Labeling page, click Create Labeling Job in the upper right corner. On the displayed page, create a labeling job.
- Enter basic information about the labeling job, including Name and Description.
- Select a labeling scene and type as required.
- Set the parameters based on the labeling job type. For details, see the parameters of the following labeling job types: +
- Click Create in the lower right corner of the page.
After the labeling job is created, the data labeling management page is displayed. You can perform the following operations on the labeling job: start auto labeling, publish new versions, modify the labeling job, and delete the labeling job.
Images (Image Classification, Image Segmentation, and Object Detection)
-Table 1 Parameters of an image labeling job Name
+-Images (Image Classification, Image Segmentation, and Object Detection)
+Table 1 Parameters of an image labeling job Name
Description
+Description
Dataset Name
+Dataset Name
Select a dataset that supports the labeling type.
+Select a dataset that supports the labeling type.
Label Set
+Label Set
- Label name: Enter a label name with 1 to 1024 characters.
- Add Label: Click Add Label to add one or more labels.
- Label color: Set label colors for object detection and image segmentation labeling jobs. Select a color from the color palette on the right of a label, or enter the hexadecimal color code to set the color.
- Add Label Attribute: For an object detection labeling job, you can click the plus sign (+) on the right to add label attributes after setting a label color. Label attributes are used to distinguish different attributes of the objects with the same label.
- Label name: Enter a label name with 1 to 1,024 characters.
- Add Label: Click Add Label to add one or more labels.
- Label color: Set label colors for object detection and image segmentation labeling jobs. Select a color from the color palette on the right of a label, or enter the hexadecimal color code to set the color.
- Add Label Attribute: For an object detection labeling job, you can click the plus sign (+) on the right to add label attributes after setting a label color. Label attributes are used to distinguish different attributes of the objects with the same label.
Team Labeling
+Team Labeling
Enable or disable team labeling. Image segmentation does not support team labeling. Therefore, this parameter is unavailable when you use image segmentation.
-After enabling team labeling, enter the type of the team labeling job, and select the labeling team and team members. For details about the parameters, see Creating a Team Labeling Job.
-Before enabling team labeling, ensure that you have added a team and members on the Labeling Teams page. If no labeling team is available, click the link on the page to go to the Labeling Teams page, and add your team and members. For details, see Adding a Team.
-After a dataset is created with team labeling enabled, you can view the Team Labeling mark in Labeling Type.
+Enable or disable team labeling. Image segmentation does not support team labeling. Therefore, this parameter is unavailable when you use image segmentation.
+After enabling team labeling, enter the type of the team labeling job, and select the labeling team and team members. For details about the parameters, see Creating a Team Labeling Job.
+Before enabling team labeling, ensure that you have added a team and members on the Labeling Teams page. If no labeling team is available, click the link on the page to go to the Labeling Teams page, and add your team and members. For details, see Adding a Team.
+After a dataset is created with team labeling enabled, you can view the Team Labeling mark in Labeling Type.
Audio (Sound Classification, Speech Labeling, and Speech Paragraph Labeling)
-Table 2 Parameters of an audio labeling job Parameter
+-Audio (Sound Classification, Speech Labeling, and Speech Paragraph Labeling)
+Table 2 Parameters of an audio labeling job Parameter
Description
+Description
Dataset Name
+Dataset Name
Select a dataset that supports the labeling type.
+Select a dataset that supports the labeling type.
Label Set (for sound classification)
+Label Set (for sound classification)
You can add a label set for labeling jobs of sound classification.
-- Label name: Enter 1 to 1024 characters in the Label Set text box.
- Add Label: Click Add Label to add one or more labels.
You can add a label set for labeling jobs of sound classification.
+- Label name: Enter 1 to 1,024 characters in the Label Set text box.
- Add Label: Click Add Label to add one or more labels.
Label Management (for speech paragraph labeling)
+Label Management (for speech paragraph labeling)
Label management is available for speech paragraph labeling.
-- Single LabelA single label is used to label a piece of audio that has only one class.
- Label: Enter a label name, with 1 to 1024 characters.
- Label Color: Set the label color in the Label Color column. You can select a color from the color palette or enter a hexadecimal color code to set the color.
Label management is available for speech paragraph labeling.
+- Single LabelA single label is used to label a piece of audio that has only one class.-
- Label: Enter a label name, with 1 to 1,024 characters.
- Label Color: Set the label color in the Label Color column. You can select a color from the color palette or enter a hexadecimal color code to set the color.
- Multiple LabelsMultiple labels are suitable for multi-dimensional labeling. For example, you can label a piece of audio as both noise and speech. For speech, you can label the audio with different speakers. You can click Add Label Class to add multiple label classes. A label class can contain multiple labels. The label class and name can contain only letters, digits, periods (.), underscores (_), and hyphens (-). Only letters, digits, periods (.), underscores (_), and hyphens (-) are allowed.
- Add Label Class: Enter a label class.
- Label: Enter a label name.
- Add Label: Click Add Label to add one or more labels.
- Multiple Labels
Multiple labels are suitable for multi-dimensional labeling. For example, you can label a piece of audio as both noise and speech. For speech, you can label the audio with different speakers. You can click Add Label Class to add multiple label classes. A label class can contain multiple labels. The label class and name can contain only letters, digits, periods (.), underscores (_), and hyphens (-). Only letters, digits, periods (.), underscores (_), and hyphens (-) are allowed.- Add Label Class: Enter a label class.
- Label: Enter a label name.
- Add Label: Click Add Label to add one or more labels.
Speech Labeling (for speech paragraph labeling)
+Speech Labeling (for speech paragraph labeling)
Only datasets for speech paragraph labeling support speech labeling. By default, speech labeling is disabled. If this function is enabled, you can label speech content.
+Only datasets for speech paragraph labeling support speech labeling. By default, speech labeling is disabled. If this function is enabled, you can label speech content.
Team Labeling (for speech paragraph labeling)
+Team Labeling (for speech paragraph labeling)
Only datasets of speech paragraph labeling support team labeling.
-After enabling team labeling, enter the type of the team labeling job, and select the labeling team and team members. For details about the parameters, see Creating a Team Labeling Job.
-Before enabling team labeling, ensure that you have added a team and members on the Labeling Teams page. If no labeling team is available, click the link on the page to go to the Labeling Teams page, and add your team and members. For details, see Adding a Team.
-After a dataset is created with team labeling enabled, you can view the Team Labeling mark in Labeling Type.
+Only datasets of speech paragraph labeling support team labeling.
+After enabling team labeling, enter the type of the team labeling job, and select the labeling team and team members. For details about the parameters, see Creating a Team Labeling Job.
+Before enabling team labeling, ensure that you have added a team and members on the Labeling Teams page. If no labeling team is available, click the link on the page to go to the Labeling Teams page, and add your team and members. For details, see Adding a Team.
+After a dataset is created with team labeling enabled, you can view the Team Labeling mark in Labeling Type.
Text (Text Classification, Named Entity Recognition, and Text Triplet)
-Table 3 Parameters of a text labeling job Parameter
+-Text (Text Classification, Named Entity Recognition, and Text Triplet)
+Table 3 Parameters of a text labeling job Parameter
Description
+Description
Dataset Name
+Dataset Name
Select a dataset that supports the labeling type.
+Select a dataset that supports the labeling type.
Label Set (for text classification and named entity recognition)
+Label Set (for text classification and named entity recognition)
- Label name: Enter a label name with 1 to 1024 characters.
- Add Label: Click Add Label to add one or more labels.
- Label color: Select a color from the color palette or enter the hexadecimal color code to set the color.
+
Label Set (for text triplet)
+Label Set (for text triplet)
For datasets of the text triplet type, set entity labels and relationship labels.
-- Entity Label: Set the label name and label color. You can click the plus sign (+) on the right of the color area to add multiple labels.
- Relationship Label: a relationship between two entities. Set the source entity and target entity. Therefore, add at least two entity labels before adding a relationship label.
For datasets of the text triplet type, set entity labels and relationship labels.
+- Entity Label: Set the label name and label color. You can click the plus sign (+) on the right of the color area to add multiple labels.
- Relationship Label: a relationship between two entities. Set the source entity and target entity. Therefore, add at least two entity labels before adding a relationship label.
Team Labeling
+Team Labeling
Enable or disable team labeling.
-After enabling team labeling, enter the type of the team labeling job, and select the labeling team and team members. For details about the parameters, see Creating a Team Labeling Job.
-Before enabling team labeling, ensure that you have added a team and members on the Labeling Teams page. If no labeling team is available, click the link on the page to go to the Labeling Teams page, and add your team and members. For details, see Adding a Team.
-After a dataset is created with team labeling enabled, you can view the Team Labeling mark in Labeling Type.
+Enable or disable team labeling.
+After enabling team labeling, enter the type of the team labeling job, and select the labeling team and team members. For details about the parameters, see Creating a Team Labeling Job.
+Before enabling team labeling, ensure that you have added a team and members on the Labeling Teams page. If no labeling team is available, click the link on the page to go to the Labeling Teams page, and add your team and members. For details, see Adding a Team.
+After a dataset is created with team labeling enabled, you can view the Team Labeling mark in Labeling Type.
Video
-Table 4 Parameters of a video labeling job Name
+Video
+Table 4 Parameters of a video labeling job Name
Description
+Description
Dataset Name
+Dataset Name
Select a dataset that supports the labeling type.
+Select a dataset that supports the labeling type.
Label Set
+Label Set
- Label name: Enter a label name with 1 to 1024 characters.
- Add Label: Click Add Label to add one or more labels.
- Label color: Select a color from the color palette or enter the hexadecimal color code to set the color.
- Label name: Enter a label name with 1 to 1,024 characters.
- Add Label: Click Add Label to add one or more labels.
- Label color: Select a color from the color palette or enter the hexadecimal color code to set the color.
Image Labeling
@@ -6,7 +6,7 @@- Image Classification
- - Object detection
+ - Object Detection
- Image Segmentation
diff --git a/docs/modelarts/umn/datalabel-modelarts_0006.html b/docs/modelarts/umn/datalabel-modelarts_0006.html
index 3c93a41e..6494bc9f 100644
--- a/docs/modelarts/umn/datalabel-modelarts_0006.html
+++ b/docs/modelarts/umn/datalabel-modelarts_0006.html
@@ -1,55 +1,55 @@
-
+
- You can add multiple labels to an image.
- A label name can contain a maximum of 1,024 characters, including letters, digits, hyphens (-), and underscores (_).
- Log in to the ModelArts management console. In the navigation pane on the left, choose Data Management > Label Data.
- On the right of the labeling job list, select a labeling type from the job type drop-down list. Click the job to be performed based on the labeling type. The details page of the job is displayed.
- The job details page displays all data of the labeling job.
- You can add multiple labels to an image.
- A label name can contain a maximum of 1,024 characters, including letters, digits, hyphens (-), and underscores (_).
- Log in to the ModelArts management console. In the navigation pane on the left, choose Data Management > Label Data.
- On the right of the labeling job list, select a labeling type from the job type drop-down list. Click the job to be performed based on the labeling type. The details page of the job is displayed.
- The job details page displays all data of the labeling job.
- Example Type: Select Hard example or Non-hard example.
- Label: Select All or one or more labels you specified.
- File Name or Path: Filter files by file name or file storage path.
- Labeled By: Select the name of the user who labeled the image.
- Example Type: Select Hard example or Non-hard example.
- Label: Select All or one or more labels you specified.
- File Name or Path: Filter files by file name or file storage path.
- Labeled By: Select the name of the user who labeled the image.
- In the Unlabeled tab, select the images to be labeled.
- Manual selection: In the image list, click the selection box in the upper left corner of an image to enter the selection mode, indicating that the image is selected. You can select multiple images of the same type and add labels to them together.
- Batch selection: If all the images on the current page of the image list belong to the same type, you can click Select Images on Current Page in the upper right corner to select all the images on the current page.
- Add labels to the selected images.
- In the label adding area on the right, set a label in the Label text box.
Click the Label text box and select an existing label from the drop-down list. If the existing labels cannot meet the requirements, input a label in the text box.
- - Click OK. The selected images are automatically moved to the Labeled tab. In the Unlabeled and All statuses tabs, the labeling information is updated along with the labeling process, including the added label names and the number of images for each label.
For details about how to label data, see Labeling Description on the dataset details page.
-- Log in to the ModelArts management console. In the navigation pane on the left, choose Data Management > Label Data. The Data Labeling page is displayed.
- In the My Creations or My Participations tab, find the dataset to be labeled.
- Click the dataset name. The labeling details page is displayed. (By default, the Unlabeled tab is displayed.)
- In the upper right corner of the labeling details page, click Labeling Description.
-Manually Labeling Images
The labeling job details page displays the All statuses, Unlabeled, and Labeled tabs. The Unlabeled tab is displayed by default. Click an image to preview it. For the images that have been labeled, the label information is displayed at the bottom of the preview page.
+- In the Unlabeled tab, select the images to be labeled.
- Manual selection: In the image list, click the selection box in the upper left corner of an image to enter the selection mode, indicating that the image is selected. You can select multiple images of the same type and add labels to them together.
- Batch selection: If all the images on the current page of the image list belong to the same type, you can click Select Images on Current Page in the upper right corner to select all the images on the current page.
- Add labels to the selected images.
- In the label adding area on the right, set a label in the Label text box.
Click the Label text box and select an existing label from the drop-down list. If the existing labels cannot meet the requirements, input a label in the text box.
+ - Click OK. The selected images are automatically moved to the Labeled tab. In the Unlabeled and All statuses tabs, the labeling information is updated along with the labeling process, including the added label names and the number of images for each label.
For details about how to label data, see Labeling Description on the dataset details page.
+- Log in to the ModelArts management console. In the navigation pane on the left, choose Data Management > Label Data. The Data Labeling page is displayed.
- In the My Creations or My Participations tab, find the dataset to be labeled.
- Click the dataset name. The labeling details page is displayed. (By default, the Unlabeled tab is displayed.)
- In the upper right corner of the labeling details page, click Labeling Description.
- In the label adding area on the right, set a label in the Label text box.
Viewing Labeled Images
On the labeling job details page, click the Labeled tab to view the list of labeled images. By default, the corresponding labels are displayed under the image thumbnails. You can also select an image and view the label information of the image in the Labels of Selected Images area on the right.
+-Viewing Labeled Images
On the labeling job details page, click the Labeled tab to view the list of labeled images. By default, the corresponding labels are displayed under the image thumbnails. You can also select an image and view the label information of the image in the Labels of Selected Images area on the right.
Modifying Labeled Data
After labeling data, you can modify labeled data in the Labeled tab.- Modifying based on images
On the labeling job details page, click the Labeled tab, and select one or more images to be modified from the image list. Modify the image information in the label information area on the right.
-Modifying a label: In the Labels of Selected Images area, click the edit icon in the Operation column, enter the correct label name in the text box, and click the check mark to complete the modification.
-Deleting a label: In the Labels of Selected Images area, click the delete icon in the Operation column to delete the label. This operation deletes only the labels added to the selected image.
+-Modifying Labeled Data
After labeling data, you can modify labeled data in the Labeled tab.- Modifying based on images
On the labeling job details page, click the Labeled tab, and select one or more images to be modified from the image list. Modify the image information in the label information area on the right.
+Modifying a label: In the Labels of Selected Images area, click the edit icon in the Operation column, enter the correct label name in the text box, and click the check mark to complete the modification.
+Deleting a label: In the Labels of Selected Images area, click the delete icon in the Operation column to delete the label. This operation deletes only the labels added to the selected image.
- Modifying based on labels
- On the labeling job details page, click Label Management. All labels are displayed on the list.
- Modifying a label: Click Modify in the Operation column. In the displayed dialog box, enter the new label name and click OK. After the modification, the images with the label added will use the new label name.
- Deleting a label: Click Delete in the Operation column to delete the label from all images that have been added with the label.
- Locate the target labeling job and click Label in the Operation column to go to the label management page.
- Click Modify in the Operation column of the target label to modify it.
- Click Delete in the Operation column of the target label to delete it.
- Modifying based on labels
- On the labeling job details page, click Label Management. All labels are displayed on the list.
- Modifying a label: Click Modify in the Operation column. In the displayed dialog box, enter the new label name and click OK. After the modification, the images with the label added will use the new label name.
- Deleting a label: Click Delete in the Operation column to delete the label from all images that have been added with the label.
- Locate the target labeling job and click Label in the Operation column to go to the label management page.
- Click Modify in the Operation column of the target label to modify it.
- Click Delete in the Operation column of the target label to delete it.
- On the labeling job details page, click Label Management. All labels are displayed on the list.
- On the labeling job details page, click Label Management. All labels are displayed on the list.
Adding Data
In addition to the data automatically synchronized from datasets, you can directly add images to labeling jobs for labeling. The added data is first imported to the dataset associated with the labeling job. Then, the labeling job automatically synchronizes the latest data from the dataset.
-- On the labeling job details page, click All statuses, Labeled, or Unlabeled tab, click Add data in the upper left corner.
- Configure the data source, import mode, import path, and labeling status.
- Click OK.
The images you have added will be automatically displayed in the image list in the All statuses tab. You can choose Add data > View historical records to view task history.
+-Adding Data
In addition to the data automatically synchronized from datasets, you can directly add images to labeling jobs for labeling. The added data is first imported to the dataset associated with the labeling job. Then, the labeling job automatically synchronizes the latest data from the dataset.
+- On the labeling job details page, click All statuses, Labeled, or Unlabeled tab, click Add data in the upper left corner.
- Configure the data source, import mode, import path, and labeling status.
- Click OK.
The images you have added will be automatically displayed in the image list in the All statuses tab. You can choose Add data > View historical records to view task history.
Deleting Images
You can quickly delete the images you want to discard.
-In the All statuses, Unlabeled, or Labeled tab, select the images to be deleted or click Select Images on Current Page, and click Delete. In the displayed dialog box, select or deselect Delete the source files from OBS as required. After confirmation, click Yes to delete the images.
-If a tick is displayed in the upper left corner of an image, the image is selected. If no image is selected on the page, the Delete button is unavailable.
- If you select Delete the source files from OBS, images stored in the OBS directory will be deleted accordingly. This operation may affect other dataset versions or datasets using those files, for example, leading to an error in page display, training, or inference. Deleted data cannot be recovered. Exercise caution when performing this operation.
+-Deleting Images
You can quickly delete the images you want to discard.
+In the All statuses, Unlabeled, or Labeled tab, select the images to be deleted or click Select Images on Current Page, and click Delete. In the displayed dialog box, select or deselect Delete the source files from OBS as required. After confirmation, click Yes to delete the images.
+If a tick is displayed in the upper left corner of an image, the image is selected. If no image is selected on the page, the Delete button is unavailable.
+ If you select Delete the source files from OBS, images stored in the OBS directory will be deleted accordingly. This operation may affect other dataset versions or datasets using those files, for example, leading to an error in page display, training, or inference. Deleted data cannot be recovered. Exercise caution when performing this operation.
diff --git a/docs/modelarts/umn/datalabel-modelarts_0007.html b/docs/modelarts/umn/datalabel-modelarts_0007.html index 941624e4..627aa84a 100644 --- a/docs/modelarts/umn/datalabel-modelarts_0007.html +++ b/docs/modelarts/umn/datalabel-modelarts_0007.html @@ -1,145 +1,145 @@ - + -Managing Annotators
If team labeling is enabled for a labeling job, view its labeling details in the Annotator Management tab. Additionally, you can add, modify, or delete annotators.
-- Choose Data Management > Label Data. In the My Creations or My Participations tab, view the list of all labeling jobs.
- Locate the target team labeling job. (The name of a team labeling job is followed by
.) - Choose More > Annotator Management in the Operation column. Alternatively, click the job name to go to the job details page, and choose Team Labeling > Annotator Management in the upper right corner.
- Adding an annotator
Click Add Member, select a member name, and click OK.
-Click Send Email in the Operation column to send the labeling job to the annotator by email.
- - Modifying annotator information
Click Modify in the Operation column to modify the role of the annotator.
- - Deleting an annotator
Click Delete in the Operation column to delete the annotator.
+Managing Annotators
If team labeling is enabled for a labeling job, view its labeling details in the Annotator Management tab. Additionally, you can add, modify, or delete annotators.
+- Choose Data Management > Label Data. In the My Creations or My Participations tab, view the list of all labeling jobs.
- Locate the target team labeling job. (The name of a team labeling job is followed by
.) - Choose More > Annotator Management in the Operation column. Alternatively, click the job name to go to the job details page, and choose Team Labeling > Annotator Management in the upper right corner.
- Adding an annotator
Click Add Member, select a member name, and click OK.
+Click Send Email in the Operation column to send the labeling job to the annotator by email.
+ - Modifying annotator information
Click Modify in the Operation column to modify the role of the annotator.
+ - Deleting an annotator
Click Delete in the Operation column to delete the annotator.
Object detection
-Training a model uses a large number of labeled images. Therefore, label images before the model training. You can add labels to images by manual labeling or auto labeling. In addition, you can modify the labels of images, or remove their labels and label the images again.
-Before labeling an image in object detection scenarios, pay attention to the following:
-- All target objects in the image must be labeled.
- Target objects are clear without any blocking and contained within bounding boxes.
- Only the entire object must be contained within a bounding box. The edge of the bounding box cannot intersect the edge outline of the target object. Additionally, there must not be a gap between the edge and the target object to prevent the background from interfering with the model training.
Starting Labeling
- Log in to the ModelArts management console. In the navigation pane on the left, choose Data Management > Label Data.
- In the labeling job list, select a labeling type from the All type drop-down list, click the job to be performed based on the labeling type. The details page of the job is displayed.
- The job details page displays all data of the labeling job.
Object Detection
+Training a model uses a large number of labeled images. Therefore, label images before the model training. You can add labels to images by manual labeling or auto labeling. In addition, you can modify the labels of images, or remove their labels and label the images again.
+Before labeling an image in object detection scenarios, pay attention to the following:
+- All target objects in the image must be labeled.
- Target objects are clear without any blocking and contained within bounding boxes.
- Only the entire object must be contained within a bounding box. The edge of the bounding box cannot intersect the edge outline of the target object. Additionally, there must not be a gap between the edge and the target object to prevent the background from interfering with the model training.
-Starting Labeling
- Log in to the ModelArts management console. In the navigation pane on the left, choose Data Management > Label Data.
- In the labeling job list, select a labeling type from the All type drop-down list, click the job to be performed based on the labeling type. The details page of the job is displayed.
- The job details page displays all data of the labeling job.
Synchronizing New Data
ModelArts automatically synchronizes data and labeling information from datasets to the labeling job.
-To quickly obtain the latest data in a dataset, in the All statuses, Unlabeled, or Labeled tab of the labeling job details page, click Synchronize New Data.
+-Synchronizing New Data
ModelArts automatically synchronizes data and labeling information from datasets to the labeling job.
+To quickly obtain the latest data in a dataset, in the All statuses, Unlabeled, or Labeled tab of the labeling job details page, click Synchronize New Data.
Filtering Data
In the All statuses, Unlabeled, or tab, click
-
in the filter criteria area and add filter criteria to quickly filter the data you want to view.The following filter criteria are available. You can set one or more filter criteria.
-- Example Type: Select Hard example or Non-hard example.
- Label: Select All or one or more labels you specified.
- File Name or Path: Filter files by file name or file storage path.
- Labeled By: Select the name of the user who labeled the image.
-Filtering Data
In the All statuses, Unlabeled, or tab, click
+
in the filter criteria area and add filter criteria to quickly filter the data you want to view.The following filter criteria are available. You can set one or more filter criteria.
+- Example Type: Select Hard example or Non-hard example.
- Label: Select All or one or more labels you specified.
- File Name or Path: Filter files by file name or file storage path.
- Labeled By: Select the name of the user who labeled the image.
Manually Labeling Images
The labeling job details page displays the All statuses, Unlabeled, and Labeled tabs. The Unlabeled tab is displayed by default.
-- In the Unlabeled tab, click an image. The system automatically directs you to the page for labeling the image. For details about how to use common buttons on this page, see Table 2.
- In the tool bar, select a proper labeling shape. The default labeling shape is a rectangle. In this example, the rectangle is used for labeling.
In the tool bar, multiple tools are provided for you to label images. After you select a shape to label the first image, the shape automatically applies to subsequent images. You can switch the shape as required.
+Manually Labeling Images
The labeling job details page displays the All statuses, Unlabeled, and Labeled tabs. The Unlabeled tab is displayed by default.
+- In the Unlabeled tab, click an image. The system automatically directs you to the page for labeling the image. For details about how to use common buttons on this page, see Table 2.
- In the tool bar, select a proper labeling shape. The default labeling shape is a rectangle. In this example, the rectangle is used for labeling.-
In the tool bar, multiple tools are provided for you to label images. After you select a shape to label the first image, the shape automatically applies to subsequent images. You can switch the shape as required.
Table 1 Supported bounding box Icon
+-Table 1 Supported bounding box Icon
Description
+Description
+
Rectangle. You can also press 1. Click the edge of the upper left corner of the object to be labeled. A rectangle will be displayed. Drag the rectangle to cover the object and click to label the object.
+Rectangle. You can also press 1. Click the edge of the upper left corner of the object to be labeled. A rectangle will be displayed. Drag the rectangle to cover the object and click to label the object.
+
Polygon. You can also press 2. In the area where the object to be labeled is located, click to label a point, move the mouse and click multiple points along the edge of the object, and then click the first point again. All the points form a polygon. In this way, the object to be labeled is within the bounding box.
+Polygon. You can also press 2. In the area where the object to be labeled is located, click to label a point, move the mouse and click multiple points along the edge of the object, and then click the first point again. All the points form a polygon. In this way, the object to be labeled is within the bounding box.
+
Round. You can also press 3. Click the center point of an object, and move the mouse to draw a circle to cover the object and click to label the object.
+Round. You can also press 3. Click the center point of an object, and move the mouse to draw a circle to cover the object and click to label the object.
+
Straight. You can also press 4. Click to specify the start and end points of an object, and move the mouse to draw a straight line to cover the object and click to label the object.
+Straight. You can also press 4. Click to specify the start and end points of an object, and move the mouse to draw a straight line to cover the object and click to label the object.
+
Dashed line. You can also press 5. Click to specify the start and end points of an object, and move the mouse to draw a dashed line to cover the object and click to label the object.
+Dashed line. You can also press 5. Click to specify the start and end points of an object, and move the mouse to draw a dashed line to cover the object and click to label the object.
+
Dot. You can also press 6. Click the object in an image to label a point.
+Dot. You can also press 6. Click the object in an image to label a point.
- In the Add Label text box, enter a new label name, select the label color, and click Add. Alternatively, select an existing label from the drop-down list.
Label all objects in an image. Multiple labels can be added to an image. After labeling an image, click the right arrow (or press D) in the upper right corner of the image to switch to the next image and label the image.
-- Click Back to Data Labeling Preview in the upper left part of the page to view the labeling information. In the displayed dialog box, click Yes to save the labeling settings.
The selected images are automatically moved to the Labeled tab. In the Unlabeled and All statuses tabs, the labeling information is updated along with the labeling process, including the added label names and the number of images for each label.
+- In the Add Label text box, enter a new label name, select the label color, and click Add. Alternatively, select an existing label from the drop-down list.
Label all objects in an image. Multiple labels can be added to an image. After labeling an image, click the right arrow (or press D) in the upper right corner of the image to switch to the next image and label the image.
+- Click Back to Data Labeling Preview in the upper left part of the page to view the labeling information. In the displayed dialog box, click Yes to save the labeling settings.
-The selected images are automatically moved to the Labeled tab. In the Unlabeled and All statuses tabs, the labeling information is updated along with the labeling process, including the added label names and the number of images for each label.
Table 2 Common icons on the labeling page Icon
+-Table 2 Common icons on the labeling page Icon
Features
+Features
+
Cancel the previous operation. You can also press Ctrl+Z.
+Cancel the previous operation. You can also press Ctrl+Z.
+
Redo the previous operation. You can also press Ctrl+Shift+Z.
+Redo the previous operation. You can also press Ctrl+Shift+Z.
+
Zoom in an image. You can also use the mouse wheel to zoom in.
+Zoom in an image. You can also use the mouse wheel to zoom in.
+
Zoom out an image. You can also use the mouse wheel to zoom out.
+Zoom out an image. You can also use the mouse wheel to zoom out.
+
Delete all bounding boxes on the current image. You can also press Shift+Delete.
+Delete all bounding boxes on the current image. You can also press Shift+Delete.
+
Show or hide a bounding box. This operation can be performed only on a labeled image. You can also press Shift+H.
+Show or hide a bounding box. This operation can be performed only on a labeled image. You can also press Shift+H.
+
Drag a bounding box to another position or drag the edge of the bounding box to resize it. You can also use X + left mouse button.
+Drag a bounding box to another position or drag the edge of the bounding box to resize it. You can also use X + left mouse button.
+
Reset a bounding box. After dragging a bounding box, you can click this button to quickly restore the bounding box to its original shape and position. You can also press Esc.
+Reset a bounding box. After dragging a bounding box, you can click this button to quickly restore the bounding box to its original shape and position. You can also press Esc.
Viewing Labeled Images
On the labeling job details page, click the Labeled tab to view the list of labeled images. The labels of each image are displayed below the image.
+-Viewing Labeled Images
On the labeling job details page, click the Labeled tab to view the list of labeled images. The labels of each image are displayed below the image.
Quick Review
Labeling jobs of the current object detection type cannot be reviewed in batches. If the label of a sample is modified or deleted, you need to go to the label details page to operate, which is complex. To simplify the operations, users can now review or modify labeling information in batches, improving efficiency.
-- Log in to the ModelArts management console. In the navigation pane, choose Data Management > Label Data. In the My Creations tab, select the target object detection labeling job from the All types drop-down list in the upper right corner.
- In the labeling job list, click the target labeling job. The labeling details page is displayed.
- Click Quick Review on the Labeled tab. On the displayed page, confirm the labeling results.
- Batch review images of the same label.
- On the review page, select the label type from the drop-down list next to Filter by Label.
- Sort images of the selected label type by bounding box area or aspect ratio.
- Click an incorrectly labeled image, and then drag the labeling box to relabel the image. (Modified is displayed on the modified images.)
- You can select the incorrectly labeled images, and then click
in the upper right corner to delete the label. (Deleted is displayed on the images whose label has been deleted.) - You can also modify the label of a labeled image.
- Select the target images and click
in the All Labels area on the right. - Type a new label and click OK.
Quick Review
Labeling jobs of the current object detection type cannot be reviewed in batches. If the label of a sample is modified or deleted, you need to go to the label details page to operate, which is complex. To simplify the operations, users can now review or modify labeling information in batches, improving efficiency.
+- Log in to the ModelArts management console. In the navigation pane, choose Data Management > Label Data. In the My Creations tab, select the target object detection labeling job from the All types drop-down list in the upper right corner.
- In the labeling job list, click the target labeling job. The labeling details page is displayed.
- Click Quick Review on the Labeled tab. On the displayed page, confirm the labeling results.
- Batch review images of the same label.
- On the review page, select the label type from the drop-down list next to Filter by Label.
- Sort images of the selected label type by bounding box area or aspect ratio.
- Click an incorrectly labeled image, and then drag the labeling box to relabel the image. (Modified is displayed on the modified images.)
- You can select the incorrectly labeled images, and then click
in the upper right corner to delete the label. (Deleted is displayed on the images whose label has been deleted.) - You can also modify the label of a labeled image.
- Select the target images and click
in the All Labels area on the right. - Type a new label and click OK.
- Select the target images and click
- After the modification, click Apply Modifications. In the displayed dialog box, click OK. The system automatically returns to the labeling overview page and overwrites the original labeling data.
- If you are not satisfied with the modified data, you can click Cancel Modifications to retain the original labeling data.
-
Table 3 Buttons on the quick review page Button
+- After the modification, click Apply Modifications. In the displayed dialog box, click OK. The system automatically returns to the labeling overview page and overwrites the original labeling data.
- If you are not satisfied with the modified data, you can click Cancel Modifications to retain the original labeling data. +
Table 3 Buttons on the quick review page Button
Features
+Features
+
Delete the label.
+Delete the label.
+
Undo all operations on the current page.
+Undo all operations on the current page.
+
Undo the previous operation.
+Undo the previous operation.
+
Redo the previous operation.
+Redo the previous operation.
Modifying Labeled Data
After labeling data, you can modify labeled data in the Labeled tab.
-- Modifying based on images
On the labeling job details page, click the Labeled tab and then the image to be modified. The labeling page is displayed. Modify the image information in the label information area on the right.
-- Modifying a label: In the Labeling area, click the edit icon, enter the correct label name in the text box, and click the check mark to complete the modification. Alternatively, click a label. In the image labeling area, adjust the position and size of the labeling box. After the adjustment, right-click the labeling box and choose Modify from the shortcut menu. Enter the new label and click Modify to save the modification.
- Deleting a label: In the Labeling area, click the deletion icon to delete a label from the image.
After deleting the label, click Back to Data Labeling Preview in the upper left corner of the page to exit the labeling page. In the displayed dialog box, save the modification. After all labels of an image are deleted, the image is displayed in the Unlabeled tab.
+-Modifying Labeled Data
After labeling data, you can modify labeled data in the Labeled tab.
+- Modifying based on images
On the labeling job details page, click the Labeled tab and then the image to be modified. The labeling page is displayed. Modify the image information in the label information area on the right.
+- Modifying a label: In the Labeling area, click the edit icon, enter the correct label name in the text box, and click the check mark to complete the modification. Alternatively, click a label. In the image labeling area, adjust the position and size of the labeling box. After the adjustment, right-click the labeling box and choose Modify from the shortcut menu. Enter the new label and click Modify to save the modification.
- Deleting a label: In the Labeling area, click the deletion icon to delete a label from the image.
After deleting the label, click Back to Data Labeling Preview in the upper left corner of the page to exit the labeling page. In the displayed dialog box, save the modification. After all labels of an image are deleted, the image is displayed in the Unlabeled tab.
- Modifying based on labels
- On the labeling job details page, click Label Management on the right. All label information is displayed.
- Modifying a label: Click Modify in the Operation column. In the displayed dialog box, enter a new label name, select a new label color, and click OK. After the modification, the images with the label added will use the new label name.
- Deleting a label: Click Delete in the Operation column, or select the label to be deleted and click Delete Label above the label list.
- Alternatively, click Label in the Operation column of the target labeling job to go to the label management page.
- Click Modify in the Operation column of the target label to modify it.
- Click Delete in the Operation column of the target label to delete it.
- Modifying based on labels
- On the labeling job details page, click Label Management on the right. All label information is displayed.
- Modifying a label: Click Modify in the Operation column. In the displayed dialog box, enter a new label name, select a new label color, and click OK. After the modification, the images with the label added will use the new label name.
- Deleting a label: Click Delete in the Operation column, or select the label to be deleted and click Delete Label above the label list.
- Alternatively, click Label in the Operation column of the target labeling job to go to the label management page.
- Click Modify in the Operation column of the target label to modify it.
- Click Delete in the Operation column of the target label to delete it.
- On the labeling job details page, click Label Management on the right. All label information is displayed.
- On the labeling job details page, click Label Management on the right. All label information is displayed.
Adding Data
In addition to the data automatically synchronized from datasets, you can directly add images to labeling jobs for labeling. The added data is first imported to the dataset associated with the labeling job. Then, the labeling job automatically synchronizes the latest data from the dataset.
-- On the labeling job details page, click All statuses, Labeled, or Unlabeled tab, click Add data in the upper left corner.
- Configure the data source, import mode, import path, and labeling status.
- Click OK.
The images you have added will be automatically displayed in the image list in the All statuses tab. You can choose Add data > View historical records to view task history.
+-Adding Data
In addition to the data automatically synchronized from datasets, you can directly add images to labeling jobs for labeling. The added data is first imported to the dataset associated with the labeling job. Then, the labeling job automatically synchronizes the latest data from the dataset.
+- On the labeling job details page, click All statuses, Labeled, or Unlabeled tab, click Add data in the upper left corner.
- Configure the data source, import mode, import path, and labeling status.
- Click OK.
The images you have added will be automatically displayed in the image list in the All statuses tab. You can choose Add data > View historical records to view task history.
Deleting Images
You can quickly delete the images you want to discard.
-In the All statuses, Unlabeled, or Labeled tab, select the images to be deleted or click Select Images on Current Page, and click Delete. In the displayed dialog box, select or deselect Delete the source files from OBS as required. After confirmation, click Yes to delete the images.
-If a tick is displayed in the upper left corner of an image, the image is selected. If no image is selected on the page, the Delete button is unavailable.
- If you select Delete the source files from OBS, images stored in the OBS directory will be deleted accordingly. This operation may affect other dataset versions or datasets using those files, for example, leading to an error in page display, training, or inference. Deleted data cannot be recovered. Exercise caution when performing this operation.
+-Deleting Images
You can quickly delete the images you want to discard.
+In the All statuses, Unlabeled, or Labeled tab, select the images to be deleted or click Select Images on Current Page, and click Delete. In the displayed dialog box, select or deselect Delete the source files from OBS as required. After confirmation, click Yes to delete the images.
+If a tick is displayed in the upper left corner of an image, the image is selected. If no image is selected on the page, the Delete button is unavailable.
+ If you select Delete the source files from OBS, images stored in the OBS directory will be deleted accordingly. This operation may affect other dataset versions or datasets using those files, for example, leading to an error in page display, training, or inference. Deleted data cannot be recovered. Exercise caution when performing this operation.
diff --git a/docs/modelarts/umn/datalabel-modelarts_0008.html b/docs/modelarts/umn/datalabel-modelarts_0008.html index 3b61e4f7..10415acc 100644 --- a/docs/modelarts/umn/datalabel-modelarts_0008.html +++ b/docs/modelarts/umn/datalabel-modelarts_0008.html @@ -1,114 +1,114 @@ - +Managing Annotators
If team labeling is enabled for a labeling job, view its labeling details in the Annotator Management tab. Additionally, you can add, modify, or delete annotators.
-- Choose Data Management > Label Data. In the My Creations or My Participations tab, view the list of all labeling jobs.
- Locate the row that contains the target team labeling job. (The name of a team labeling job is followed by
.) - Choose More > Annotator Management in the Operation column. Alternatively, click the job name to go to the job details page, and choose Team Labeling > Annotator Management in the upper right corner.
+
Managing Annotators
If team labeling is enabled for a labeling job, view its labeling details in the Annotator Management tab. Additionally, you can add, modify, or delete annotators.
+- Choose Data Management > Label Data. In the My Creations or My Participations tab, view the list of all labeling jobs.
- Locate the target team labeling job. (The name of a team labeling job is followed by
.) - Choose More > Annotator Management in the Operation column. Alternatively, click the job name to go to the job details page, and choose Team Labeling > Annotator Management in the upper right corner.
- Adding an annotator
Click Add Member, select a member name, and click OK.
-Click Send Email in the Operation column to send the labeling job to the annotator by email.
- - Modifying annotator information
Click Modify in the Operation column to modify the role of the annotator.
- - Deleting an annotator
Click Delete in the Operation column to delete the annotator.
+- Adding an annotator
Click Add Member, select a member name, and click OK.
+Click Send Email in the Operation column to send the labeling job to the annotator by email.
+ - Modifying annotator information
Click Modify in the Operation column to modify the role of the annotator.
+ - Deleting an annotator
Click Delete in the Operation column to delete the annotator.
- Adding an annotator
Image Segmentation
-Training a model uses a large number of labeled images. Therefore, label images before the model training. You can label images on the ModelArts management console. Alternatively, modify labels, or delete them and label them again.
-Before labeling an image in image segmentation scenarios, pay attention to the following:
-- All objects whose contours need to be extracted from the image must be labeled.
- Polygons can be used for labeling.
- In polygon labeling, draw a polygon based on the outline of the target object.
- When labeling an image, ensure that the polygons are within the image. Otherwise, an error will occur in subsequent operations.
Starting Labeling
- Log in to the ModelArts management console. In the navigation pane on the left, choose Data Management > Label Data.
- On the right of the labeling job list, select a labeling type from the job type drop-down list. Click the job to be performed based on the labeling type. The details page of the job is displayed.
- The job details page displays all data of the labeling job.
Training a model uses a large number of labeled images. Therefore, label images before the model training. You can label images on the ModelArts management console. Alternatively, modify labels, or delete them and label them again.
+Before labeling an image in image segmentation scenarios, pay attention to the following:
+- All objects whose contours need to be extracted from the image must be labeled.
- Polygons can be used for labeling.
- In polygon labeling, draw a polygon based on the outline of the target object.
- When labeling an image, ensure that the polygons are within the image. Otherwise, an error will occur in subsequent operations.
-Starting Labeling
- Log in to the ModelArts management console. In the navigation pane on the left, choose Data Management > Label Data.
- On the right of the labeling job list, select a labeling type from the job type drop-down list. Click the job to be performed based on the labeling type. The details page of the job is displayed.
- The job details page displays all data of the labeling job.
Synchronizing New Data
ModelArts automatically synchronizes data and labeling information from datasets to the labeling job.
-To quickly obtain the latest data in a dataset, in the All statuses, Unlabeled, or Labeled tab of the labeling job details page, click Synchronize New Data.
+-Synchronizing New Data
ModelArts automatically synchronizes data and labeling information from datasets to the labeling job.
+To quickly obtain the latest data in a dataset, in the All statuses, Unlabeled, or Labeled tab of the labeling job details page, click Synchronize New Data.
Filtering Data
In the All statuses, Unlabeled, or tab, click
-
in the filter criteria area and add filter criteria to quickly filter the data you want to view.The following filter criteria are available. You can set one or more filter criteria.
-- Example Type: Select Hard example or Non-hard example.
- Label: Select All or one or more labels you specified.
- File Name or Path: Filter files by file name or file storage path.
- Labeled By: Select the name of the user who labeled the image.
-Filtering Data
In the All statuses, Unlabeled, or tab, click
+
in the filter criteria area and add filter criteria to quickly filter the data you want to view.The following filter criteria are available. You can set one or more filter criteria.
+- Example Type: Select Hard example or Non-hard example.
- Label: Select All or one or more labels you specified.
- File Name or Path: Filter files by file name or file storage path.
- Labeled By: Select the name of the user who labeled the image.
Manually Labeling Images
The labeling job details page displays the All statuses, Unlabeled, and Labeled tabs. The Unlabeled tab is displayed by default.
-- In the Unlabeled tab, click an image. The system automatically directs you to the page for labeling the image. For details about how to use common buttons on this page, see Table 2.
- Select a labeling method.On the labeling page, common labeling methods and buttons are provided in the toolbar. By default, polygon labeling is selected.
After you select a method to label the first image, the labeling method automatically applies to subsequent images.
+Manually Labeling Images
The labeling job details page displays the All statuses, Unlabeled, and Labeled tabs. The Unlabeled tab is displayed by default.
+- In the Unlabeled tab, click an image. The system automatically directs you to the page for labeling the image. For details about how to use common buttons on this page, see Table 2.
- Select a labeling method.On the labeling page, common labeling methods and buttons are provided in the toolbar. By default, polygon labeling is selected.-
After you select a method to label the first image, the labeling method automatically applies to subsequent images.
Figure 1 Toolbar-
-Table 1 Labeling methods Icon
+Figure 1 Toolbar+
+-Table 1 Labeling methods Icon
Description
+Description
+
Polygon. In the area where the object to be labeled is located, click to label a point, move the mouse and click multiple points along the edge of the object, and then click the first point again. All the points form a polygon. In this way, the object to be labeled is within the bounding box.
+Polygon. In the area where the object to be labeled is located, click to label a point, move the mouse and click multiple points along the edge of the object, and then click the first point again. All the points form a polygon. In this way, the object to be labeled is within the bounding box.
Table 2 Toolbar buttons Button
+-Table 2 Toolbar buttons Button
Features
+Features
+
Cancel the previous operation.
+Cancel the previous operation.
+
Redo the previous operation.
+Redo the previous operation.
+
Zoom in an image.
+Zoom in an image.
+
Zoom out an image.
+Zoom out an image.
+
Delete all bounding boxes on the current image.
+Delete all bounding boxes on the current image.
+
Show or hide a bounding box. This operation can be performed only on a labeled image.
+Show or hide a bounding box. This operation can be performed only on a labeled image.
+
Drag a bounding box to another position or drag the edge of the bounding box to resize it.
+Drag a bounding box to another position or drag the edge of the bounding box to resize it.
+
Reset a bounding box. After dragging a bounding box, you can click this button to quickly restore the bounding box to its original shape and position.
+Reset a bounding box. After dragging a bounding box, you can click this button to quickly restore the bounding box to its original shape and position.
+
Display the labeled image in full screen.
+Display the labeled image in full screen.
- Label an object.
After labeling an image, click an image that has not been labeled in the image list below to label the new image.
-- Click Back to Data Labeling Preview in the upper left part of the page to view the labeling information. In the displayed dialog box, click Yes to save the labeling settings.
The selected images are automatically moved to the Labeled tab. In the Unlabeled and All statuses tabs, the labeling information is updated along with the labeling process, including the added label names and the number of images for each label.
+- Label an object.
After labeling an image, click an image that has not been labeled in the image list below to label the new image.
+- Click Back to Data Labeling Preview in the upper left part of the page to view the labeling information. In the displayed dialog box, click Yes to save the labeling settings.
-The selected images are automatically moved to the Labeled tab. In the Unlabeled and All statuses tabs, the labeling information is updated along with the labeling process, including the added label names and the number of images for each label.
Viewing Labeled Images
On the labeling job details page, click the Labeled tab to view the list of labeled images. Click an image to view its labeling information in the File Labels area on the right.
+-Viewing Labeled Images
On the labeling job details page, click the Labeled tab to view the list of labeled images. Click an image to view its labeling information in the File Labels area on the right.
Modifying a Label
After labeling data, you can modify labeled data in the Labeled tab.
-On the labeling details page, click the Labeled tab and then the image to be modified. On the displayed labeling page, modify the labeling information in the File Labels area on the right.
-- Modifying a label: In the Labeling area, click the edit icon, set the target label name or color in the displayed dialog box, and click
to save the modification. Alternatively, click a label to be modified. In the image labeling area, adjust the position and size of the bounding box. After the adjustment is complete, click another label to save the modification. - Modifying image labeling information: In the area for displaying images, click the target bounding box. Then, blue points on the bounding box are displayed. Drag a blue point and adjust the bounding box to the edge of the object.
- Deleting a label: In the Labeling area, click the deletion icon to delete a label from the image. After all labels of an image are deleted, the image is displayed in the Unlabeled tab.
After the labeling information is modified, click Back to Data Labeling Preview in the upper left part of the page to exit the labeling page. In the displayed dialog box, click Yes to save the modification.
+-Modifying a Label
After labeling data, you can modify labeled data in the Labeled tab.
+On the labeling details page, click the Labeled tab and then the image to be modified. On the displayed labeling page, modify the labeling information in the File Labels area on the right.
+- Modifying a label: In the Labeling area, click the edit icon, set the target label name or color in the displayed dialog box, and click
to save the modification. Alternatively, click a label to be modified. In the image labeling area, adjust the position and size of the bounding box. After the adjustment is complete, click another label to save the modification. - Modifying image labeling information: In the area for displaying images, click the target bounding box. Then, blue points on the bounding box are displayed. Drag a blue point and adjust the bounding box to the edge of the object.
- Deleting a label: In the Labeling area, click the deletion icon to delete a label from the image. After all labels of an image are deleted, the image is displayed in the Unlabeled tab.
After the labeling information is modified, click Back to Data Labeling Preview in the upper left part of the page to exit the labeling page. In the displayed dialog box, click Yes to save the modification.
Adding Data
In addition to the data automatically synchronized from datasets, you can directly add images to labeling jobs for labeling. The added data is first imported to the dataset associated with the labeling job. Then, the labeling job automatically synchronizes the latest data from the dataset.
-- On the labeling job details page, click All statuses, Labeled, or Unlabeled tab, click Add data in the upper left corner.
- Configure the data source, import mode, import path, and labeling status.
- Click OK.
The images you have added will be automatically displayed in the image list in the All statuses tab. You can choose Add data > View historical records to view task history.
+-Adding Data
In addition to the data automatically synchronized from datasets, you can directly add images to labeling jobs for labeling. The added data is first imported to the dataset associated with the labeling job. Then, the labeling job automatically synchronizes the latest data from the dataset.
+- On the labeling job details page, click All statuses, Labeled, or Unlabeled tab, click Add data in the upper left corner.
- Configure the data source, import mode, import path, and labeling status.
- Click OK.
The images you have added will be automatically displayed in the image list in the All statuses tab. You can choose Add data > View historical records to view task history.
Deleting Images
You can quickly delete the images you want to discard.
-In the All statuses, Unlabeled, or Labeled tab, select the images to be deleted or click Select Images on Current Page, and click Delete in the upper left corner to delete them. In the displayed dialog box, select or deselect Delete the source files from OBS as required. After confirmation, click Yes to delete the images.
-If a tick is displayed in the upper left corner of an image, the image is selected. If no image is selected on the page, the Delete button is unavailable.
- diff --git a/docs/modelarts/umn/datalabel-modelarts_0009.html b/docs/modelarts/umn/datalabel-modelarts_0009.html index 41be91a8..b7c5c76e 100644 --- a/docs/modelarts/umn/datalabel-modelarts_0009.html +++ b/docs/modelarts/umn/datalabel-modelarts_0009.html @@ -1,10 +1,10 @@ - +If you select Delete the source files from OBS, images stored in the OBS directory will be deleted accordingly. This operation may affect other dataset versions or datasets using those files, for example, leading to an error in page display, training, or inference. Deleted data cannot be recovered. Exercise caution when performing this operation.
+Deleting Images
You can quickly delete the images you want to discard.
+In the All statuses, Unlabeled, or Labeled tab, select the images to be deleted or click Select Images on Current Page, and click Delete in the upper left corner to delete them. In the displayed dialog box, select or deselect Delete the source files from OBS as required. After confirmation, click Yes to delete the images.
+If a tick is displayed in the upper left corner of an image, the image is selected. If no image is selected on the page, the Delete button is unavailable.
+ If you select Delete the source files from OBS, images stored in the OBS directory will be deleted accordingly. This operation may affect other dataset versions or datasets using those files, for example, leading to an error in page display, training, or inference. Deleted data cannot be recovered. Exercise caution when performing this operation.
Text Labeling
-
-
- Text classification
+ - Text Classification
- Named Entity Recognition
diff --git a/docs/modelarts/umn/datalabel-modelarts_0010.html b/docs/modelarts/umn/datalabel-modelarts_0010.html
index 89c433ab..a3a86048 100644
--- a/docs/modelarts/umn/datalabel-modelarts_0010.html
+++ b/docs/modelarts/umn/datalabel-modelarts_0010.html
@@ -1,44 +1,44 @@
-
+
- - Text labeling supports multiple labels. That is, you can add multiple labels to a labeling object.
- A label name can contain a maximum of 1,024 characters, including letters, digits, hyphens (-), underscores (_), and special characters.
- Log in to the ModelArts management console. In the navigation pane on the left, choose Data Management > Label Data.
- In the labeling job list, select a labeling type from the All type drop-down list, click the job to be performed based on the labeling type. The details page of the job is displayed.
- The job details page displays all data of the labeling job.
- Text labeling supports multiple labels. That is, you can add multiple labels to a labeling object.
- A label name can contain a maximum of 1,024 characters, including letters, digits, hyphens (-), underscores (_), and special characters.
- Log in to the ModelArts management console. In the navigation pane on the left, choose Data Management > Label Data.
- In the labeling job list, select a labeling type from the All type drop-down list, click the job to be performed based on the labeling type. The details page of the job is displayed.
- The job details page displays all data of the labeling job.
- In the Unlabeled tab, the objects to be labeled are listed in the left pane. In the list, click the text object to be labeled, and select a label in the Label Set area in the right pane. Multiple labels can be added to a labeling object.
You can repeat this operation to select objects and add labels to the objects.
- - After all objects are labeled, click Save Current Page at the bottom of the page.
- In the Unlabeled tab, the objects to be labeled are listed in the left pane. In the list, click the text object to be labeled, and select a label in the Label Set area in the right pane. Multiple labels can be added to a labeling object.
You can repeat this operation to select objects and add labels to the objects.
+ - After all objects are labeled, click Save Current Page at the bottom of the page.
- Adding labels in the Unlabeled tab: Click the plus sign (+) next to Label Set. On the displayed Add Label page, add a label name, select a label color, and click OK.
- Adding labels in the Labeled tab: Click the plus sign (+) next to Label Set. On the displayed Add Label page, add a label name, select a label color, and click OK.
- Adding labels in the Unlabeled tab: Click the plus sign (+) next to Label Set. On the displayed Add Label page, add a label name, select a label color, and click OK.
- Adding labels in the Labeled tab: Click the plus sign (+) next to Label Set. On the displayed Add Label page, add a label name, select a label color, and click OK.
- Modifying based on texts
On the labeling job details page, click the Labeled tab and select the text to be modified from the text list.
-In the text list, click the text. When the text background turns blue, the text is selected. If a text file has multiple labels, you can click
+
on the above to delete the label.-Modifying Labeled Data
After labeling data, you can modify labeled data in the Labeled tab.
+- Modifying based on texts
On the labeling job details page, click the Labeled tab and select the text to be modified from the text list.
+In the text list, click the text. When the text background turns blue, the text is selected. If a text file has multiple labels, you can click
on the above to delete the label.
- Modifying based on labels
On the labeling job details page, click the Labeled tab. The information about all labels is displayed on the right.
-- Batch modification: In the All Labels area, click the edit icon in the Operation column, modify the label name in the text box, select a label color, and click OK.
- Batch deletion: In the All Labels area, click the deletion icon in the Operation column to delete the label. In the displayed dialog box, select Delete the label or Delete the label and objects with only the label, and click OK.
- Modifying based on labels
On the labeling job details page, click the Labeled tab. The information about all labels is displayed on the right.
+- Batch modification: In the All Labels area, click the edit icon in the Operation column, modify the label name in the text box, select a label color, and click OK.
- Batch deletion: In the All Labels area, click the deletion icon in the Operation column to delete the label. In the displayed dialog box, select Delete the label or Delete the label and objects with only the label, and click OK.
Adding a File
In addition to the data synchronized, you can directly add data on labeling job details page for labeling.
-- On the labeling job details page, click the Unlabeled tab, click Add data in the upper left corner.
- Configure the data source, import mode, and other parameters, and click OK.
For details about how to import data, see section "Importing Data".
+-Adding a File
In addition to the data synchronized, you can directly add data on labeling job details page for labeling.
+- On the labeling job details page, click the Unlabeled tab, click Add data in the upper left corner.
- Configure the data source, import mode, and other parameters, and click OK.
For details about how to import data, see section "Importing Data".
Deleting a File
You can quickly delete the files you want to discard.
-- In the Unlabeled tab, select the text to be deleted, and click Delete in the upper left corner.
- In the Labeled tab, select the text to be deleted, and click Delete. Alternatively, click Select Current Page to select all text objects on the current page and click Delete in the upper left corner.
The background of the selected text is blue.
+-Deleting a File
You can quickly delete the files you want to discard.
+- In the Unlabeled tab, select the text to be deleted, and click Delete in the upper left corner.
- In the Labeled tab, select the text to be deleted, and click Delete. Alternatively, click Select Current Page to select all text objects on the current page and click Delete in the upper left corner.
The background of the selected text is blue.
diff --git a/docs/modelarts/umn/datalabel-modelarts_0011.html b/docs/modelarts/umn/datalabel-modelarts_0011.html index 60ea6f02..1cf19821 100644 --- a/docs/modelarts/umn/datalabel-modelarts_0011.html +++ b/docs/modelarts/umn/datalabel-modelarts_0011.html @@ -1,44 +1,44 @@ - +Managing Annotators
If team labeling is enabled for a labeling job, view its labeling details in the Annotator Management tab. Additionally, you can add, modify, or delete annotators.
-- Choose Data Management > Label Data. In the My Creations or My Participations tab, view the list of all labeling jobs.
- Locate the row that contains the target team labeling job. (The name of a team labeling job is followed by .)
- Choose More > Annotator Management in the Operation column. Alternatively, click the job name to go to the job details page, and choose Team Labeling > Annotator Management in the upper right corner.
- Adding an annotator
Click Add Member, select a member name, and click OK.
-Click Send Email in the Operation column to send the labeling job to the annotator by email.
- - Modifying annotator information
Click Modify in the Operation column to modify the role of the annotator.
- - Deleting an annotator
Click Delete in the Operation column to delete the annotator.
+Managing Annotators
If team labeling is enabled for a labeling job, view its labeling details in the Annotator Management tab. Additionally, you can add, modify, or delete annotators.
+- Choose Data Management > Label Data. In the My Creations or My Participations tab, view the list of all labeling jobs.
- Locate the target team labeling job. (The name of a team labeling job is followed by .)
- Choose More > Annotator Management in the Operation column. Alternatively, click the job name to go to the job details page, and choose Team Labeling > Annotator Management in the upper right corner.
- Adding an annotator
Click Add Member, select a member name, and click OK.
+Click Send Email in the Operation column to send the labeling job to the annotator by email.
+ - Modifying annotator information
Click Modify in the Operation column to modify the role of the annotator.
+ - Deleting an annotator
Click Delete in the Operation column to delete the annotator.
Named Entity Recognition
-Named entity recognition assigns labels to named entities in text, such as time and locations. Before labeling, pay attention to the following:
-A label name of a named entity can contain a maximum of 1,024 characters, including letters, digits, hyphens (-), underscores (_), and special characters.
-Starting Labeling
- Log in to the ModelArts management console. In the navigation pane on the left, choose Data Management > Label Data.
- In the labeling job list, select a labeling type from the All type drop-down list, click the job to be performed based on the labeling type. The details page of the job is displayed.
- The job details page displays all data of the labeling job.
Named entity recognition assigns labels to named entities in text, such as time and locations. Before labeling, pay attention to the following:
+A label name of a named entity can contain a maximum of 1,024 characters, including letters, digits, hyphens (-), underscores (_), and special characters.
+-Starting Labeling
- Log in to the ModelArts management console. In the navigation pane on the left, choose Data Management > Label Data.
- In the labeling job list, select a labeling type from the All type drop-down list, click the job to be performed based on the labeling type. The details page of the job is displayed.
- The job details page displays all data of the labeling job.
Synchronizing New Data
ModelArts automatically synchronizes data and labeling information from datasets to the labeling job.
-To quickly obtain the latest data in the datasets, in the Unlabeled tab of the labeling job details page, click Synchronize New Data.
+-Synchronizing New Data
ModelArts automatically synchronizes data and labeling information from datasets to the labeling job.
+To quickly obtain the latest data in the datasets, in the Unlabeled tab of the labeling job details page, click Synchronize New Data.
Labeling Text Files
The labeling job details page displays the Unlabeled and Labeled tabs. The Unlabeled tab is displayed by default.
-- In the Unlabeled tab, the objects to be labeled are listed in the left pane. In the list, click the text object to be labeled, select a part of text displayed under Label Set for labeling, and select a label in the Label Set area in the right pane. Multiple labels can be added to a labeling object.
You can repeat this operation to select objects and add labels to the objects.
- - Click Save Current Page in the lower part of the page to complete the labeling.
-Labeling Text Files
The labeling job details page displays the Unlabeled and Labeled tabs. The Unlabeled tab is displayed by default.
+- In the Unlabeled tab, the objects to be labeled are listed in the left pane. In the list, click the text object to be labeled, select a part of text displayed under Label Set for labeling, and select a label in the Label Set area in the right pane. Multiple labels can be added to a labeling object.
You can repeat this operation to select objects and add labels to the objects.
+ - Click Save Current Page in the lower part of the page to complete the labeling.
Adding a Label
- Adding labels in the Unlabeled tab: Click the plus sign (+) next to Label Set. On the displayed Add Label page, add a label name, select a label color, and click OK.
- Adding labels in the Labeled tab: Click the plus sign (+) next to Label Set. On the displayed Add Label page, add a label name, select a label color, and click OK.
-Adding a Label
- Adding labels in the Unlabeled tab: Click the plus sign (+) next to Label Set. On the displayed Add Label page, add a label name, select a label color, and click OK.
- Adding labels in the Labeled tab: Click the plus sign (+) next to Label Set. On the displayed Add Label page, add a label name, select a label color, and click OK.
Viewing the Labeled Text
On the dataset details page, click the Labeled tab to view the list of the labeled text. You can also view all labels supported by the dataset in the All Labels area on the right.
+-Viewing the Labeled Text
On the dataset details page, click the Labeled tab to view the list of the labeled text. You can also view all labels supported by the dataset in the All Labels area on the right.
Modifying Labeled Data
After labeling data, you can modify labeled data in the Labeled tab.
-On the labeling job details page, click the Labeled tab, and modify the text information in the label information area on the right.
-- Modifying based on texts
On the labeling job details page, click the Labeled tab, and select the text to be modified from the text list.
-Manual deletion: In the text list, click the text. When the text background turns blue, the text is selected. On the right of the page, click
+
on the above to delete the label.-Modifying Labeled Data
After labeling data, you can modify labeled data in the Labeled tab.
+On the labeling job details page, click the Labeled tab, and modify the text information in the label information area on the right.
+- Modifying based on texts
On the labeling job details page, click the Labeled tab, and select the text to be modified from the text list.
+Manual deletion: In the text list, click the text. When the text background turns blue, the text is selected. On the right of the page, click
on the above to delete the label.
- Modifying based on labels
On the labeling job details page, click the Labeled tab. The information about all labels is displayed on the right.
-- Batch modification: In the All Labels area, click the edit icon in the Operation column, add a label name in the text box, select a label color, and click OK.
- Batch deletion: In the All Labels area, click the deletion icon in the Operation column to delete the label. In the displayed dialog box, select Delete the label or Delete the label and objects with only the label, and click OK.
- Modifying based on labels
On the labeling job details page, click the Labeled tab. The information about all labels is displayed on the right.
+- Batch modification: In the All Labels area, click the edit icon in the Operation column, add a label name in the text box, select a label color, and click OK.
- Batch deletion: In the All Labels area, click the deletion icon in the Operation column to delete the label. In the displayed dialog box, select Delete the label or Delete the label and objects with only the label, and click OK.
Adding a File
In addition to the data synchronized, you can directly add data on labeling job details page for labeling.
-- On the labeling job details page, click the Unlabeled tab, click Add data in the upper left corner.
- Configure the data source, import mode, and other parameters, and click OK.
For details about how to import data, see section "Importing Data".
+-Adding a File
In addition to the data synchronized, you can directly add data on labeling job details page for labeling.
+- On the labeling job details page, click the Unlabeled tab, click Add data in the upper left corner.
- Configure the data source, import mode, and other parameters, and click OK.
For details about how to import data, see section "Importing Data".
Deleting a File
You can quickly delete the files you want to discard.
-- In the Unlabeled tab, select the text to be deleted, and click Delete in the upper left corner.
- In the Labeled tab, select the text to be deleted, and click Delete. Alternatively, tick Select Current Page to select all text objects on the current page and click Delete in the upper left corner.
The background of the selected text is blue.
+-Deleting a File
You can quickly delete the files you want to discard.
+- In the Unlabeled tab, select the text to be deleted, and click Delete in the upper left corner.
- In the Labeled tab, select the text to be deleted, and click Delete. Alternatively, tick Select Current Page to select all text objects on the current page and click Delete in the upper left corner.
The background of the selected text is blue.
diff --git a/docs/modelarts/umn/datalabel-modelarts_0012.html b/docs/modelarts/umn/datalabel-modelarts_0012.html index d36b9a43..82bfeb13 100644 --- a/docs/modelarts/umn/datalabel-modelarts_0012.html +++ b/docs/modelarts/umn/datalabel-modelarts_0012.html @@ -1,39 +1,39 @@ - +Managing Annotators
If team labeling is enabled for a labeling job, view its labeling details in the Annotator Management tab. Additionally, you can add, modify, or delete annotators.
-- Choose Data Management > Label Data. In the My Creations or My Participations tab, view the list of all labeling jobs.
- Locate the row that contains the target team labeling job. (The name of a team labeling job is followed by .)
- Choose More > Annotator Management in the Operation column. Alternatively, click the job name to go to the job details page, and choose Team Labeling > Annotator Management in the upper right corner.
- Adding an annotator
Click Add Member, select a member name, and click OK.
-Click Send Email in the Operation column to send the labeling job to the annotator by email.
- - Modifying annotator information
Click Modify in the Operation column to modify the role of the annotator.
- - Deleting an annotator
Click Delete in the Operation column to delete the annotator.
+Managing Annotators
If team labeling is enabled for a labeling job, view its labeling details in the Annotator Management tab. Additionally, you can add, modify, or delete annotators.
+- Choose Data Management > Label Data. In the My Creations or My Participations tab, view the list of all labeling jobs.
- Locate the target team labeling job. (The name of a team labeling job is followed by .)
- Choose More > Annotator Management in the Operation column. Alternatively, click the job name to go to the job details page, and choose Team Labeling > Annotator Management in the upper right corner.
- Adding an annotator
Click Add Member, select a member name, and click OK.
+Click Send Email in the Operation column to send the labeling job to the annotator by email.
+ - Modifying annotator information
Click Modify in the Operation column to modify the role of the annotator.
+ - Deleting an annotator
Click Delete in the Operation column to delete the annotator.
Text Triplet
-Triplet labeling is suitable for scenarios where structured information, such as subjects, predicates, and objects, needs to be labeled in statements. With this function, not only entities in statements, but also relationships between entities can be labeled. Triplet labeling is often used in natural language processing tasks such as dependency syntax analysis and information extraction.
-Text triplet labeling involves two classes of important labels: Entity Label and Relationship Label. For Relationship Label, set its Source entity and Target entity.
-- You can define multiple entity and relationship labels for a text object.
- The Entity Label defined during dataset creation cannot be deleted.
Precautions
Before labeling, ensure that the Entity Label and Relationship Label of a labeling job have been defined. For Relationship Label, set its Source entity and Target entity. Relationship Label must be between the defined Source entity and Target entity.
-For example, if two entities are labeled as Place, you cannot add any relationship label between them. If a relationship label cannot be added, a red cross is displayed.
+Triplet labeling is suitable for scenarios where structured information, such as subjects, predicates, and objects, needs to be labeled in statements. With this function, not only entities in statements, but also relationships between entities can be labeled. Triplet labeling is often used in natural language processing tasks such as dependency syntax analysis and information extraction.
+Text triplet labeling involves two classes of important labels: Entity Label and Relationship Label. For Relationship Label, set its Source entity and Target entity.
+- You can define multiple entity and relationship labels for a text object.
- The Entity Label defined during dataset creation cannot be deleted.
-Precautions
Before labeling, ensure that the Entity Label and Relationship Label of a labeling job have been defined. For Relationship Label, set its Source entity and Target entity. Relationship Label must be between the defined Source entity and Target entity.
+For example, if two entities are labeled as Place, you cannot add any relationship label between them. If a relationship label cannot be added, a red cross is displayed.
Starting Labeling
- Log in to the ModelArts management console. In the navigation pane on the left, choose Data Management > Label Data.
- In the labeling job list, select a labeling type from the All type drop-down list, click the job to be performed based on the labeling type. The details page of the job is displayed.
- The job details page displays all data of the labeling job.
-Starting Labeling
- Log in to the ModelArts management console. In the navigation pane on the left, choose Data Management > Label Data.
- In the labeling job list, select a labeling type from the All type drop-down list, click the job to be performed based on the labeling type. The details page of the job is displayed.
- The job details page displays all data of the labeling job.
Synchronizing New Data
ModelArts automatically synchronizes data and labeling information from datasets to the labeling job.
-To quickly obtain the latest data in the datasets, in the Unlabeled tab of the labeling job details page, click Synchronize New Data.
+-Synchronizing New Data
ModelArts automatically synchronizes data and labeling information from datasets to the labeling job.
+To quickly obtain the latest data in the datasets, in the Unlabeled tab of the labeling job details page, click Synchronize New Data.
Labeling Text Files
The labeling job details page displays the Unlabeled and Labeled tabs. The Unlabeled tab is displayed by default.
-- In the Unlabeled tab, the objects to be labeled are listed in the left pane. In the list, click a text object, select the corresponding text content on the right pane, and select an entity name from the displayed entity list to label the content.
- After labeling multiple entities, click the source entity and target entity in sequence and select a relationship type from the displayed relationship list to label the relationship.
- After all objects are labeled, click Save Current Page at the bottom of the page.
You cannot modify the labels of a dataset in the text triplet type on the labeling page. Instead, click Label Management and modify the Entity Label and Relationship Label.
+-Labeling Text Files
The labeling job details page displays the Unlabeled and Labeled tabs. The Unlabeled tab is displayed by default.
+- In the Unlabeled tab, the objects to be labeled are listed in the left pane. In the list, click a text object, select the corresponding text content on the right pane, and select an entity name from the displayed entity list to label the content.
- After labeling multiple entities, click the source entity and target entity in sequence and select a relationship type from the displayed relationship list to label the relationship.
- After all objects are labeled, click Save Current Page at the bottom of the page.
You cannot modify the labels of a dataset in the text triplet type on the labeling page. Instead, click Label Management and modify the Entity Label and Relationship Label.
Modifying Labeled Data
After labeling data, you can modify labeled data in the Labeled tab.
-On the labeling job details page, click the Labeled tab. Select a text object in the left pane and the right pane displays the detailed label information. You can move your cursor to the entity or relationship label, and right-click to delete it. You can also click the source entity and target entity in sequence to add a relationship label.
+-Modifying Labeled Data
After labeling data, you can modify labeled data in the Labeled tab.
+On the labeling job details page, click the Labeled tab. Select a text object in the left pane and the right pane displays the detailed label information. You can move your cursor to the entity or relationship label, and right-click to delete it. You can also click the source entity and target entity in sequence to add a relationship label.
Adding a File
In addition to the data synchronized, you can directly add data on labeling job details page for labeling.
-- On the labeling job details page, click the Unlabeled tab, click Add data in the upper left corner.
- Configure input data and click OK.
For details about how to import data, see section "Importing Data".
+-Adding a File
In addition to the data synchronized, you can directly add data on labeling job details page for labeling.
+- On the labeling job details page, click the Unlabeled tab, click Add data in the upper left corner.
- Configure input data and click OK.
For details about how to import data, see section "Importing Data".
Deleting a File
You can quickly delete the files you want to discard.
-- In the Unlabeled tab, select the text to be deleted, and click Delete in the upper left corner.
- In the Labeled tab, select the text to be deleted, and click Delete. Alternatively, tick Select Current Page to select all text objects on the current page and click Delete in the upper left corner.
The background of the selected text is blue. If no text is selected on the page, the Delete button is unavailable.
+-Deleting a File
You can quickly delete the files you want to discard.
+- In the Unlabeled tab, select the text to be deleted, and click Delete in the upper left corner.
- In the Labeled tab, select the text to be deleted, and click Delete. Alternatively, tick Select Current Page to select all text objects on the current page and click Delete in the upper left corner.
The background of the selected text is blue. If no text is selected on the page, the Delete button is unavailable.
diff --git a/docs/modelarts/umn/datalabel-modelarts_0013.html b/docs/modelarts/umn/datalabel-modelarts_0013.html index 6b5af2f4..6f6ee5e7 100644 --- a/docs/modelarts/umn/datalabel-modelarts_0013.html +++ b/docs/modelarts/umn/datalabel-modelarts_0013.html @@ -1,10 +1,10 @@ - +Managing Annotators
If team labeling is enabled for a labeling job, view its labeling details in the Annotator Management tab. Additionally, you can add, modify, or delete annotators.
-- Choose Data Management > Label Data. In the My Creations or My Participations tab, view the list of all labeling jobs.
- Locate the row that contains the target team labeling job. (The name of a team labeling job is followed by .)
- Choose More > Annotator Management in the Operation column. Alternatively, click the job name to go to the job details page, and choose Team Labeling > Annotator Management in the upper right corner.
- Adding an annotator
Click Add Member, select a member name, and click OK.
-Click Send Email in the Operation column to send the labeling job to the annotator by email.
- - Modifying annotator information
Click Modify in the Operation column to modify the role of the annotator.
- - Deleting an annotator
Click Delete in the Operation column to delete the annotator.
+Managing Annotators
If team labeling is enabled for a labeling job, view its labeling details in the Annotator Management tab. Additionally, you can add, modify, or delete annotators.
+- Choose Data Management > Label Data. In the My Creations or My Participations tab, view the list of all labeling jobs.
- Locate the target team labeling job. (The name of a team labeling job is followed by .)
- Choose More > Annotator Management in the Operation column. Alternatively, click the job name to go to the job details page, and choose Team Labeling > Annotator Management in the upper right corner.
- Adding an annotator
Click Add Member, select a member name, and click OK.
+Click Send Email in the Operation column to send the labeling job to the annotator by email.
+ - Modifying annotator information
Click Modify in the Operation column to modify the role of the annotator.
+ - Deleting an annotator
Click Delete in the Operation column to delete the annotator.
Audio Labeling
-
-
- Sound classification
+ - Sound Classification
- Speech Labeling
diff --git a/docs/modelarts/umn/datalabel-modelarts_0014.html b/docs/modelarts/umn/datalabel-modelarts_0014.html
index e6e9363f..42bb05f0 100644
--- a/docs/modelarts/umn/datalabel-modelarts_0014.html
+++ b/docs/modelarts/umn/datalabel-modelarts_0014.html
@@ -1,40 +1,40 @@
-
+
- - Log in to the ModelArts management console. In the navigation pane on the left, choose Data Management > Label Data.
- In the labeling job list, select a labeling type from the All type drop-down list, click the job to be performed based on the labeling type. The details page of the job is displayed.
- The job details page displays all data of the labeling job.
- Log in to the ModelArts management console. In the navigation pane on the left, choose Data Management > Label Data.
- In the labeling job list, select a labeling type from the All type drop-down list, click the job to be performed based on the labeling type. The details page of the job is displayed.
- The job details page displays all data of the labeling job.
- In the Unlabeled tab, select the audio files to be labeled.
- Manual selection: In the audio list, click the target audio. If the blue check box is displayed in the upper right corner, the audio is selected. You can select multiple audio files of the same type and label them together.
- Batch selection: If all audio files of the current page belong to one type, you can click Select Current Page in the upper right corner of the list to select all the audio files on the page.
- Add labels.
- In the label adding area on the right, set a label in the Label text box.
Method 1 (the required label already exists): In the right pane, select a shortcut from the Shortcut drop-down list, select an existing label name from the Label text box, and click OK.
-Method 2 (adding a label): In the right pane, select a shortcut from the Shortcut drop-down list, and enter a new label name in the Label text box.
- - The selected audio files are automatically moved to the Labeled tab. In the Unlabeled tab, the labeling information is updated along with the labeling process, including the added label names and the number of audio files corresponding to each label.
Shortcut key description: After specifying a shortcut key for a label, you can select an audio file and press the shortcut key to add a label for the audio file. Example: Specify 1 as the shortcut key for the aa label. Select one or more files and press 1. A message is displayed, asking you whether to label the files with aa. Click OK.
-Each label has a shortcut key. A shortcut key cannot be specified for different labels. Shortcut keys can greatly improve the labeling efficiency.
+-Labeling Audio Files
The labeling job details page displays the Unlabeled and Labeled tabs. The Unlabeled tab is displayed by default. Click
+
on the left of the audio to preview the audio.- In the Unlabeled tab, select the audio files to be labeled.
- Manual selection: In the audio list, click the target audio. If the blue check box is displayed in the upper right corner, the audio is selected. You can select multiple audio files of the same type and label them together.
- Batch selection: If all audio files of the current page belong to one type, you can click Select Current Page in the upper right corner of the list to select all the audio files on the page.
- Add labels.
- In the label adding area on the right, set a label in the Label text box.
Method 1 (the required label already exists): In the right pane, select a shortcut from the Shortcut drop-down list, select an existing label name from the Label text box, and click OK.
+Method 2 (adding a label): In the right pane, select a shortcut from the Shortcut drop-down list, and enter a new label name in the Label text box.
+ - The selected audio files are automatically moved to the Labeled tab. In the Unlabeled tab, the labeling information is updated along with the labeling process, including the added label names and the number of audio files corresponding to each label.
Shortcut key description: After specifying a shortcut key for a label, you can select an audio file and press the shortcut key to add a label for the audio file. Example: Specify 1 as the shortcut key for the aa label. Select one or more files and press 1. A message is displayed, asking you whether to label the files with aa. Click OK.
+Each label has a shortcut key. A shortcut key cannot be specified for different labels. Shortcut keys can greatly improve the labeling efficiency.
- In the label adding area on the right, set a label in the Label text box.
Viewing the Labeled Audio Files
On the labeling job details page, click the Labeled tab to view the list of labeled audio files. Click an audio file. You can view the label information about the audio file in the File Labels area on the right.
+-Viewing the Labeled Audio Files
On the labeling job details page, click the Labeled tab to view the list of labeled audio files. Click an audio file. You can view the label information about the audio file in the File Labels area on the right.
Modifying Labeled Data
After labeling data, you can modify labeled data in the Labeled tab.
-- Modifying based on audio
On the labeling job details page, click the Labeled tab. Select one or more audio files to be modified from the audio list. Modify the label in the label details area on the right.
-- Modifying a label: In the File Labels area, click the edit icon in the Operation column, enter the correct label name in the text box, and click the check mark to complete the modification.
- Deleting a label: In the File Labels area, click the delete icon in the Operation column to delete the label.
-Modifying Labeled Data
After labeling data, you can modify labeled data in the Labeled tab.
+- Modifying based on audio
On the labeling job details page, click the Labeled tab. Select one or more audio files to be modified from the audio list. Modify the label in the label details area on the right.
+- Modifying a label: In the File Labels area, click the edit icon in the Operation column, enter the correct label name in the text box, and click the check mark to complete the modification.
- Deleting a label: In the File Labels area, click the delete icon in the Operation column to delete the label.
- Modifying based on labels
On the labeling job details page, click the Labeled tab. The information about all labels is displayed on the right.
-- Modifying a label: Click the edit icon in the Operation column. In the displayed dialog box, enter the new label name and click OK. After the modification, the new label applies to the audio files that contain the original label.
- Deleting a label: Click the deletion icon in the Operation column. In the displayed dialog box, select the object to be deleted as prompted and click OK.
- Modifying based on labels
On the labeling job details page, click the Labeled tab. The information about all labels is displayed on the right.
+- Modifying a label: Click the edit icon in the Operation column. In the displayed dialog box, enter the new label name and click OK. After the modification, the new label applies to the audio files that contain the original label.
- Deleting a label: Click the deletion icon in the Operation column. In the displayed dialog box, select the object to be deleted as prompted and click OK.
Adding an Audio File
In addition to the data synchronized, you can directly add data on labeling job details page for labeling.
-- On the labeling job details page, click the Unlabeled or Labeled tab, click Add data in the upper left corner.
- Configure the data source, import mode, and other parameters, and click OK.
For details about how to import data, see section "Importing Data".
+-Adding an Audio File
In addition to synchronizing data, you can directly add data on labeling job details page for labeling.
+- On the labeling job details page, click the Unlabeled or Labeled tab, click Add data in the upper left corner.
- Configure the data source, import mode, and other parameters, and click OK.
For details about how to import data, see section "Importing Data".
Deleting Audio Files
You can quickly delete the audio files you want to discard.
-In the Unlabeled or Labeled tab, select the audio files to be deleted one by one or tick Select Current Page to select all audio files on the page, and then click Delete File in the upper left corner. In the displayed dialog box, select or deselect Delete the source files from OBS as required. After confirmation, click OK to delete the audio files.
-If a tick is displayed in the upper right corner of an audio file, the audio file is selected. If no audio file is selected on the page, the Delete File button is unavailable.
- diff --git a/docs/modelarts/umn/datalabel-modelarts_0015.html b/docs/modelarts/umn/datalabel-modelarts_0015.html index 1b1fc08d..758022f0 100644 --- a/docs/modelarts/umn/datalabel-modelarts_0015.html +++ b/docs/modelarts/umn/datalabel-modelarts_0015.html @@ -1,27 +1,27 @@ - +If you select Delete the source files from OBS, audio files stored in the corresponding OBS directory will be deleted when you delete the selected audio files. Deleting source files may affect other dataset versions or datasets using those files. As a result, the page display, training, or inference is abnormal. Deleted data cannot be recovered. Exercise caution when performing this operation.
+Deleting Audio Files
You can quickly delete the audio files you want to discard.
+In the Unlabeled or Labeled tab, select the audio files to be deleted one by one or tick Select Current Page to select all audio files on the page, and then click Delete File in the upper left corner. In the displayed dialog box, select or deselect Delete the source files from OBS as required. After confirmation, click OK to delete the audio files.
+If a tick is displayed in the upper right corner of an audio file, the audio file is selected. If no audio file is selected on the page, the Delete File button is unavailable.
+ If you select Delete the source files from OBS, audio files stored in the corresponding OBS directory will be deleted when you delete the selected audio files. Deleting source files may affect other dataset versions or datasets using those files. As a result, the page display, training, or inference is abnormal. Deleted data cannot be recovered. Exercise caution when performing this operation.
Speech Labeling
-Model training requires a large amount of labeled data. Therefore, before the model training, label the unlabeled audio files. ModelArts enables you to label audio files in batches by one click. In addition, you can modify the labels of audio files, or remove their labels and label the audio files again.
-Starting Labeling
- Log in to the ModelArts management console. In the navigation pane on the left, choose Data Management > Label Data.
- In the labeling job list, select a labeling type from the All type drop-down list, click the job to be performed based on the labeling type. The details page of the job is displayed.
- The job details page displays all data of the labeling job.
Model training requires a large amount of labeled data. Therefore, before the model training, label the unlabeled audio files. ModelArts enables you to label audio files in batches by one click. In addition, you can modify the labels of audio files, or remove their labels and label the audio files again.
+-Starting Labeling
- Log in to the ModelArts management console. In the navigation pane on the left, choose Data Management > Label Data.
- In the labeling job list, select a labeling type from the All type drop-down list, click the job to be performed based on the labeling type. The details page of the job is displayed.
- The job details page displays all data of the labeling job.
Synchronizing New Data
ModelArts automatically synchronizes data and labeling information from datasets to the labeling job.
-To quickly obtain the latest data in the datasets, in the Unlabeled tab of the labeling job details page, click Synchronize New Data.
+-Synchronizing New Data
ModelArts automatically synchronizes data and labeling information from datasets to the labeling job.
+To quickly obtain the latest data in the datasets, in the Unlabeled tab of the labeling job details page, click Synchronize New Data.
Labeling Audio Files
The labeling job details page displays the labeled and unlabeled audio files. The Unlabeled tab is displayed by default.
-- In the audio file list in the Unlabeled tab, click the target audio file. In the area on the right, the audio file is displayed. Click
below the audio file to play the audio. - In Speech Content, enter the speech content.
- After entering the content, click Label to complete the labeling. The audio file is automatically moved to the Labeled tab.
-Labeling Audio Files
The labeling job details page displays the labeled and unlabeled audio files. The Unlabeled tab is displayed by default.
+- In the audio file list in the Unlabeled tab, click the target audio file. In the area on the right, the audio file is displayed. Click
below the audio file to play the audio. - In Speech Content, enter the speech content.
- After entering the content, click Label to complete the labeling. The audio file is automatically moved to the Labeled tab.
Viewing the Labeled Audio Files
On the labeling job details page, click the Labeled tab to view the list of labeled audio files. Click the audio file to view the audio content in the Speech Content text box on the right.
+-Viewing the Labeled Audio Files
On the labeling job details page, click the Labeled tab to view the list of labeled audio files. Click the audio file to view the audio content in the Speech Content text box on the right.
Modifying Labeled Data
After labeling data, you can modify labeled data in the Labeled tab.
-On the labeling job details page, click the Labeled tab and select the audio file to be modified from the audio file list. In the label information area on the right, modify the content of the Speech Content text box, and click Label to complete the modification.
+-Modifying Labeled Data
After labeling data, you can modify labeled data in the Labeled tab.
+On the labeling job details page, click the Labeled tab and select the audio file to be modified from the audio file list. In the label information area on the right, modify the content of the Speech Content text box, and click Label to complete the modification.
Adding an Audio File
In addition to the data synchronized, you can directly add data on labeling job details page for labeling.
-- On the labeling job details page, click the Unlabeled tab, click Add data in the upper left corner.
- Configure input data and click OK.
For details about how to import data, see section "Importing Data".
+-Adding an Audio File
In addition to the data synchronized, you can directly add data on labeling job details page for labeling.
+- On the labeling job details page, click the Unlabeled tab, click Add data in the upper left corner.
- Configure input data and click OK.
For details about how to import data, see section "Importing Data".
Deleting Audio Files
You can quickly delete the audio files you want to discard.
-In the Unlabeled or Labeled tab, select the audio files to be deleted, and then click Delete File in the upper left corner. In the displayed dialog box, select or deselect Delete the source files from OBS as required. After confirmation, click OK to delete the audio files.
- diff --git a/docs/modelarts/umn/datalabel-modelarts_0016.html b/docs/modelarts/umn/datalabel-modelarts_0016.html index 5be0fccc..cd91160b 100644 --- a/docs/modelarts/umn/datalabel-modelarts_0016.html +++ b/docs/modelarts/umn/datalabel-modelarts_0016.html @@ -1,35 +1,35 @@ - +If you select Delete the source files from OBS, audio files stored in the corresponding OBS directory will be deleted when you delete the selected audio files. Deleting source files may affect other dataset versions or datasets using those files. As a result, the page display, training, or inference is abnormal. Deleted data cannot be recovered. Exercise caution when performing this operation.
+Deleting Audio Files
You can quickly delete the audio files you want to discard.
+In the Unlabeled or Labeled tab, select the audio files to be deleted, and then click Delete File in the upper left corner. In the displayed dialog box, select or deselect Delete the source files from OBS as required. After confirmation, click OK to delete the audio files.
+ If you select Delete the source files from OBS, audio files stored in the corresponding OBS directory will be deleted when you delete the selected audio files. Deleting source files may affect other dataset versions or datasets using those files. As a result, the page display, training, or inference is abnormal. Deleted data cannot be recovered. Exercise caution when performing this operation.
Speech Paragraph Labeling
-Model training requires a large amount of labeled data. Therefore, before the model training, label the unlabeled audio files. ModelArts enables you to label audio files. In addition, you can modify the labels of audio files, or remove their labels and label the audio files again.
-Starting Labeling
- Log in to the ModelArts management console. In the navigation pane on the left, choose Data Management > Label Data.
- In the labeling job list, select a labeling type from the All type drop-down list, click the job to be performed based on the labeling type. The details page of the job is displayed.
- The job details page displays all data of the labeling job.
Model training requires a large amount of labeled data. Therefore, before the model training, label the unlabeled audio files. ModelArts enables you to label audio files. In addition, you can modify the labels of audio files, or remove their labels and label the audio files again.
+-Starting Labeling
- Log in to the ModelArts management console. In the navigation pane on the left, choose Data Management > Label Data.
- In the labeling job list, select a labeling type from the All type drop-down list, click the job to be performed based on the labeling type. The details page of the job is displayed.
- The job details page displays all data of the labeling job.
Synchronizing Data Sources
ModelArts automatically synchronizes data and labeling information from datasets to the labeling job.
-To quickly obtain the latest data in the OBS bucket, click Synchronize Data Source in the Unlabeled tab of the labeling job details page to add the data uploaded using OBS to the dataset.
+-Synchronizing Data Sources
ModelArts automatically synchronizes data and labeling information from datasets to the labeling job.
+To quickly obtain the latest data in the OBS bucket, click Synchronize Data Source in the Unlabeled tab of the labeling job details page to add the data uploaded using OBS to the dataset.
Labeling Audio Files
The labeling job details page displays the Unlabeled and Labeled tabs. The Unlabeled tab is displayed by default.
-- In the audio file list in the Unlabeled tab, click the target audio file. In the area on the right, the audio file is displayed. Click
below the audio file to play the audio. - Select an audio segment based on the content being played, and enter the audio file label and content in the Speech Content text box.
- After entering the content, click Label to complete the labeling. The audio file is automatically moved to the Labeled tab.
-Labeling Audio Files
The labeling job details page displays the Unlabeled and Labeled tabs. The Unlabeled tab is displayed by default.
+- In the audio file list in the Unlabeled tab, click the target audio file. In the area on the right, the audio file is displayed. Click
below the audio file to play the audio. - Select an audio segment based on the content being played, and enter the audio file label and content in the Speech Content text box.
- After entering the content, click Label to complete the labeling. The audio file is automatically moved to the Labeled tab.
Viewing the Labeled Audio Files
On the labeling job details page, click the Labeled tab to view the list of labeled audio files. Click the audio file to view the labeling information on the right.
+-Viewing the Labeled Audio Files
On the labeling job details page, click the Labeled tab to view the list of labeled audio files. Click the audio file to view the labeling information on the right.
Modifying Labeled Data
After labeling data, you can modify labeled data in the Labeled tab.
-- Modifying a label: On the labeling details page, click the Labeled tab, and select the audio file to be modified from the audio file list. In the right area, modify labeling information and click Label to complete the modification.
- Deleting a label: Click Delete in the Operation column of the target number to delete the label of the audio segment. Alternatively, you can click
above the labeled audio file to delete the label. Then click Label.
-Modifying Labeled Data
After labeling data, you can modify labeled data in the Labeled tab.
+- Modifying a label: On the labeling details page, click the Labeled tab, and select the audio file to be modified from the audio file list. In the right area, modify labeling information and click Label to complete the modification.
- Deleting a label: Click Delete in the Operation column of the target number to delete the label of the audio segment. Alternatively, you can click
above the labeled audio file to delete the label. Then click Label.
Adding an Audio File
In addition to the data synchronized, you can directly add data on labeling job details page for labeling.
-- On the labeling job details page, click the Unlabeled tab, click Add data in the upper left corner.
- Configure input data and click OK.
+-
Adding an Audio File
In addition to the data synchronized, you can directly add data on labeling job details page for labeling.
+- On the labeling job details page, click the Unlabeled tab, click Add data in the upper left corner.
- Configure input data and click OK.
Deleting Audio Files
You can quickly delete the audio files you want to discard.
-In the Unlabeled or Labeled tab, select the audio files to be deleted, and then click Delete File in the upper left corner. In the displayed dialog box, select or deselect Delete the source files from OBS as required. After confirmation, click OK to delete the audio files.
- If you select Delete the source files from OBS, audio files stored in the corresponding OBS directory will be deleted when you delete the selected audio files. Deleting source files may affect other dataset versions or datasets using those files. As a result, the page display, training, or inference is abnormal. Deleted data cannot be recovered. Exercise caution when performing this operation.
+-Deleting Audio Files
You can quickly delete the audio files you want to discard.
+In the Unlabeled or Labeled tab, select the audio files to be deleted, and then click Delete File in the upper left corner. In the displayed dialog box, select or deselect Delete the source files from OBS as required. After confirmation, click OK to delete the audio files.
+ If you select Delete the source files from OBS, audio files stored in the corresponding OBS directory will be deleted when you delete the selected audio files. Deleting source files may affect other dataset versions or datasets using those files. As a result, the page display, training, or inference is abnormal. Deleted data cannot be recovered. Exercise caution when performing this operation.
diff --git a/docs/modelarts/umn/datalabel-modelarts_0017.html b/docs/modelarts/umn/datalabel-modelarts_0017.html index e6237dce..51299f97 100644 --- a/docs/modelarts/umn/datalabel-modelarts_0017.html +++ b/docs/modelarts/umn/datalabel-modelarts_0017.html @@ -1,32 +1,32 @@ - +Managing Annotators
If team labeling is enabled for a labeling job, view its labeling details in the Annotator Management tab. Additionally, you can add, modify, or delete annotators.
-- Choose Data Management > Label Data. In the My Creations or My Participations tab, view the list of all labeling jobs.
- Locate the row that contains the target team labeling job. (The name of a team labeling job is followed by .)
- Choose More > Annotator Management in the Operation column. Alternatively, click the job name to go to the job details page, and choose Team Labeling > Annotator Management in the upper right corner.
- Adding an annotator
Click Add Member, select a member name, and click OK.
-Click Send Email in the Operation column to send the labeling job to the annotator by email.
- - Modifying annotator information
Click Modify in the Operation column to modify the role of the annotator.
- - Deleting an annotator
Click Delete in the Operation column to delete the annotator.
+Managing Annotators
If team labeling is enabled for a labeling job, view its labeling details in the Annotator Management tab. Additionally, you can add, modify, or delete annotators.
+- Choose Data Management > Label Data. In the My Creations or My Participations tab, view the list of all labeling jobs.
- Locate the target team labeling job. (The name of a team labeling job is followed by .)
- Choose More > Annotator Management in the Operation column. Alternatively, click the job name to go to the job details page, and choose Team Labeling > Annotator Management in the upper right corner.
- Adding an annotator
Click Add Member, select a member name, and click OK.
+Click Send Email in the Operation column to send the labeling job to the annotator by email.
+ - Modifying annotator information
Click Modify in the Operation column to modify the role of the annotator.
+ - Deleting an annotator
Click Delete in the Operation column to delete the annotator.
Video Labeling
-Model training requires a large amount of labeled video data. Therefore, before the model training, label the unlabeled video files. ModelArts enables you to label video files. In addition, you can modify the labels of video files, or remove their labels and label the video files again.
- Video labeling applies only to video frames.
+Model training requires a large amount of labeled video data. Therefore, before the model training, label the unlabeled video files. ModelArts enables you to label video files. In addition, you can modify the labels of video files, or remove their labels and label the video files again.
+- Video labeling applies only to video frames.
Starting Labeling
- Log in to the ModelArts management console. In the navigation pane on the left, choose Data Management >
- In the label adding area on the right, set a label in the Label text box.
Sound classification
-Model training requires a large amount of labeled data. Therefore, before the model training, label the unlabeled audio files. ModelArts enables you to label audio files in batches by one click. In addition, you can modify the labels of audio files, or remove their labels and label the audio files again.
-Starting Labeling
Sound Classification
+Model training requires a large amount of labeled data. Therefore, before the model training, label the unlabeled audio files. ModelArts enables you to label audio files in batches by one click. In addition, you can modify the labels of audio files, or remove their labels and label the audio files again.
+-Starting Labeling
Synchronizing New Data
ModelArts automatically synchronizes data and labeling information from datasets to the labeling job.
-To quickly obtain the latest data in the datasets, in the Unlabeled or Labeled tab of the labeling job details page, click Synchronize New Data.
+-Synchronizing New Data
ModelArts automatically synchronizes data and labeling information from datasets to the labeling job.
+To quickly obtain the latest data in the datasets, in the Unlabeled or Labeled tab of the labeling job details page, click Synchronize New Data.
Labeling Audio Files
The labeling job details page displays the Unlabeled and Labeled tabs. The Unlabeled tab is displayed by default. Click
-
on the left of the audio to preview the audio.
- Modifying based on texts
- Modifying based on texts
Text classification
-Model training requires a large amount of labeled data. Therefore, before the model training, add labels to the files that are not labeled. In addition, you can modify, delete, and re-label the labeled text.
-Text classification classifies text content based on labels. Before labeling text content, pay attention to the following:
-Starting Labeling
Text Classification
+Model training requires a large amount of labeled data. Therefore, before the model training, add labels to the files that are not labeled. In addition, you can modify, delete, and re-label the labeled text.
+Text classification classifies text content based on labels. Before labeling text content, pay attention to the following:
+-Starting Labeling
Synchronizing New Data
ModelArts automatically synchronizes data and labeling information from datasets to the labeling job.
-To quickly obtain the latest data in the datasets, in the Unlabeled tab of the labeling job details page, click Synchronize New Data.
+-Synchronizing New Data
ModelArts automatically synchronizes data and labeling information from datasets to the labeling job.
+To quickly obtain the latest data in the datasets, in the Unlabeled tab of the labeling job details page, click Synchronize New Data.
Labeling Text Files
The labeling job details page displays the Unlabeled and Labeled tabs. The Unlabeled tab is displayed by default.
--Labeling Text Files
The labeling job details page displays the Unlabeled and Labeled tabs. The Unlabeled tab is displayed by default.
+Adding a Label
-Adding a Label
Viewing the Labeled Text
On the labeling job details page, click the Labeled tab to view the list of labeled texts. You can also view all labels supported by the labeling job in the All Labels area on the right.
+-Viewing the Labeled Text
On the labeling job details page, click the Labeled tab to view the list of labeled texts. You can also view all labels supported by the labeling job in the All Labels area on the right.
Modifying Labeled Data
After labeling data, you can modify labeled data in the Labeled tab.
-
- Label an object.
- Modifying based on images
- Select the target images and click
- In the Add Label text box, enter a new label name, select the label color, and click Add. Alternatively, select an existing label from the drop-down list.
- Modifying based on images
- In the label adding area on the right, set a label in the Label text box.
Image Classification
-Training a model uses a large number of labeled images. Therefore, label images before the model training. You can add labels to images by manual labeling or auto labeling. In addition, you can modify the labels of images, or remove their labels and label the images again.
-Before labeling an image in image classification scenarios, pay attention to the following:
-Starting Labeling
Training a model uses a large number of labeled images. Therefore, label images before the model training. You can add labels to images by manual labeling or auto labeling. In addition, you can modify the labels of images, or remove their labels and label the images again.
+Before labeling an image in image classification scenarios, pay attention to the following:
+-Starting Labeling
Synchronizing New Data
ModelArts automatically synchronizes data and labeling information from datasets to the labeling job.
-To quickly obtain the latest data in a dataset, in the All statuses, Unlabeled, or Labeled tab of the labeling job details page, click Synchronize New Data.
+-Synchronizing New Data
ModelArts automatically synchronizes data and labeling information from datasets to the labeling job.
+To quickly obtain the latest data in a dataset, in the All statuses, Unlabeled, or Labeled tab of the labeling job details page, click Synchronize New Data.
Filtering Data
In the All statuses, Unlabeled, or tab, click
-
in the filter criteria area and add filter criteria to quickly filter the data you want to view.The following filter criteria are available. You can set one or more filter criteria.
--Filtering Data
In the All statuses, Unlabeled, or tab, click
+
in the filter criteria area and add filter criteria to quickly filter the data you want to view.The following filter criteria are available. You can set one or more filter criteria.
+Manually Labeling Images
The labeling job details page displays the All statuses, Unlabeled, and Labeled tabs. The Unlabeled tab is displayed by default. Click an image to preview it. For the images that have been labeled, the label information is displayed at the bottom of the preview page.
-
- Image
- Image