Lai, Weijian
4e4b2d5f6d
Reviewed-by: Hasko, Vladimir <vladimir.hasko@t-systems.com> Co-authored-by: Lai, Weijian <laiweijian4@huawei.com> Co-committed-by: Lai, Weijian <laiweijian4@huawei.com>
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Introduction to Data Labeling
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 Type |
Labeling Type |
Manual Labeling |
|---|---|---|
Image |
Image classification |
Yes |
Object detection |
Yes |
|
Image segmentation |
Yes |
|
Audio |
Sound classification |
Yes |
Speech Labeling |
Yes |
|
Speech Paragraph Labeling |
Yes |
|
Text |
Text classification |
Yes |
Named entity recognition |
Yes |
|
Text Triplet |
Yes |
|
Videos |
Video Labeling |
Yes |
Free format |
- |
- |
Table |
- |
- |