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 |
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