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.
Figure 1 Enabling during dataset creation
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.
Figure 2 Creating a team labeling task in a dataset list

Figure 3 Creating a team labeling task

Figure 4 Creating a team labeling task on the dataset details page

You can receive the email only when you create a team labeling task. No email will be sent when you create a labeling team or add members to a labeling team. Additionally, after all samples are labeled, no email will be sent when you create a team labeling task.