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Reviewed-by: gtema <artem.goncharov@gmail.com> Co-authored-by: Jiang, Beibei <beibei.jiang@t-systems.com> Co-committed-by: Jiang, Beibei <beibei.jiang@t-systems.com>
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Introduction to Team Labeling
Generally, a small data labeling task can be completed by an individual. However, team work is required to label a large dataset. ModelArts provides the team labeling function. A labeling team can be formed to manage labeling for the same dataset.

The team labeling function supports only datasets for image classification, object detection, text classification, named entity recognition, text triplet, and speech paragraph labeling.
How to Enable Team Labeling
- When creating a dataset, enable Team Labeling and select a team or task manager.
- If team labeling is not enabled for a dataset that has been created, create a team labeling task to enable team labeling. For details about how to create a team labeling task, see Creating Team Labeling Tasks.
Operations Related to Team Labeling
Parent topic: Team Labeling