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.

**Table 1** Functions supported by different types of datasets
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	-	-

Introduction to Data Labeling

Manual Labeling

Dataset Functions