Managing Team Labeling Tasks

Creating Team Labeling Tasks

If you enable team labeling when creating a dataset and assign a team to label the dataset, the system creates a labeling task based on the team by default. After the dataset is created, you can view the labeling task on the Labeling Progress tab page of the dataset.

You can also create a team marking task and assign it to different members in the same team or to other labeling teams.

1. Log in to the ModelArts management console. In the left navigation pane, choose Data Management > Datasets. A dataset list is displayed.
2. In the dataset list, select a dataset that supports team labeling, and click the dataset name to go to the Dashboard tab page of the dataset.
3. Click the Labeling Progress tab to view existing labeling tasks of the dataset. Click Create Team Labeling Task in the upper right corner to create a task.
   Figure 1 Labeling tasks
   
4. In the displayed Create Team Labeling Task dialog box, set related parameters and click OK.
   • Name: Enter a task name.
   • Type: Select a task type, Team or Task Manager.
   • Select Team: If Type is set to Team, you need to select a team and members for labeling. The Select Team drop-down list lists the labeling teams and members created by the current account. For details about team management, see Introduction to Team Labeling.
   • Select Task Manager: If Type is set to Task Manager, you need to select one Team Manager member from all teams as the task manager.
   • Label Set: All existing labels and label attributes of the dataset are displayed. You can also select Automatically synchronize new images to the team labeling task or Automatically load the intelligent labeling results to images that need to be labeled under Label Set.
     

     The process of loading auto labeling results to a team labeling task is as follows:

     • If you set Type to Team, you are required to create a team labeling task before executing the task.
     • If you set Type to Task Manager, select a team labeling job on the My Participations tab page and click Assign Task.
     Figure 2 Creating a team labeling task
     

     After the task is created, you can view the new task on the Labeling Progress tab page.

Labeling (Team Member)

After a labeling task is created, the team member to which the task is assigned receives a labeling notification email.

In the email, click the labeling job link to go to the data labeling job details page on the management console. Then, label the unlabeled data.

The labeling method varies depending on the dataset type. For details, see the following:

• Image Classification
• Object Detection
• Text Classification
• Named Entity Recognition
• Text Triplet

On the labeling page, each member can view the images that are not labeled, to be corrected, rejected, to be reviewed, approved, and accepted. Pay attention to the images rejected by the administrator and the images to be corrected.

If the Reviewer role is assigned for a team labeling task, the labeling result needs to be reviewed. After the labeling result is reviewed, it is submitted to the administrator for acceptance.

Figure 3 Labeling platform

Task Acceptance (Administrator)

• Initiating acceptance

  After team members complete data labeling, the dataset creator can initiate acceptance to check labeling results. The acceptance can be initiated only when a labeling member has labeled data. Otherwise, the acceptance initiation button is unavailable.

  1. On the Labeling Progress tab page, click Initiate Acceptance to accept tasks.
  2. In the displayed dialog box, set Sample Policy to By percentage or By quantity. Click OK to start the acceptance.

     By percentage: Sampling is performed based on a percentage for acceptance.

     By quantity: Sampling is performed based on quantity for acceptance.

     Figure 4 Initiating acceptance
     
  3. After the acceptance is initiated, an acceptance report is displayed on the console in real time. In the Acceptance Result area on the right, select Pass or Reject.
     If you select Pass, set Rating to A, B, C, or D. Option A indicates the highest score. See Figure 6. If you select Reject, enter your rejection reasons in the text box. See Figure 7.

     Figure 5 Viewing a real-time acceptance report
     
     Figure 6 Pass
     
     Figure 7 Reject
     
• Continuing acceptance

  You can continue accepting tasks whose acceptance is not completed. For tasks for which an acceptance process is not initiated, the Continue Acceptance button is unavailable.

  On the Labeling Progress tab page, click Continue Acceptance to continue accepting tasks. The Real-Time Acceptance Report page is displayed. You can continue to accept the images that are not accepted.

• Finishing acceptance

  In the acceptance completion window, you can view dataset acceptance details, such as the number of sample files, set the following parameters, and perform acceptance. The labeling information is synchronized to the Labeled tab page of the dataset only after the acceptance is complete.

  Once the labeled data is accepted, team members cannot modify the labeling information. Only the dataset creator can modify the labeling information.

  Table 1 Parameters for finishing acceptance

  Parameter	Description
  Modifying Labeled Data	Not overwrite: For the same data, do not overwrite the existing data with the labeling result of the current team. Overlays: For the same data, overwrite the existing data with the labeling result of the current team. Overwritten data cannot be recovered. Exercise caution when performing this operation.
  Acceptance Scope	All: all data that has been labeled by the current team, including Accepted, Pending Acceptance, and Rejected data. It refers to all sample files in the dataset. All rejects: rejects all data that has been labeled by the current team. That is, all labeled data is rejected to the labeling personnel. Accepted and pending acceptance: accepts the data that passes the acceptance or is in the Pending Acceptance state in the sample files and rejects the data that fails the acceptance to the labeling personnel. Accepted: accepts the data that has passed the acceptance in the sample files and rejects the data that is in the Pending Acceptance state or fails the acceptance to the labeling personnel.

  Figure 8 Finishing acceptance
  

Viewing an Acceptance Report

You can view the acceptance report of an ongoing or finished labeling task. On the Labeling Progress tab page, click Acceptance Report. In the displayed Acceptance Report dialog box, view report details.

Figure 9 Viewing an acceptance report

Deleting a Labeling Task

On the Labeling Progress tab page, click Delete in the row where a labeling task to be deleted. After a task is deleted, the labeling details that are not accepted will be lost. Exercise caution when performing this operation. However, the original data in the dataset and the labeled data that has been accepted are still stored in the corresponding OBS bucket.