Image Classification

At least 10 manual labeling per class is required to start auto-labeling.

1. Create CUSTOM AI

1. On the Dashboard tab of the labeling project, click the Create CUSTOM AI button at the bottom right of the Tab menu. (If the Create CUSTOM AI button is not enabled, check if any of the classes have less than 10 labelling cases.)

2. Click the Start AI Training button at the bottom to training CUSTOM AI.

3. You can check the start and completion of the learning by email and the notification tab.

2. Start Auto Labeling

If you need to upload new data that is not labeled, you can add it by clicking the Add Files button on the Data List tab of the Labeling Project.

1. On the Dashboard tab of the Labeling project, click the Start Auto Labeling button at the bottom right of the Tab menu.

2. You can check the progress of auto-labeling on the Dashboard tab, and you will be notified by e-mail and notification when it is completed.

3. Advance Auto-Labeling AI Model by Inspecting Labeled Data

1. In the Labeling Project's Data List tab, set the filter at the bottom right of the tab menu to Complete Task Status.

2. Click the data you want to view in the Data List to see the auto-labeling results, and click the Inspect Label button in the bottom right to modify the labeling. (For more information, see Labeling > Manual-Labeling > Image Classification.)

With Inspectation and Modification, CUSTOM AI models can be regenerated with high-quality data, allowing more data to be auto-labeled more accurately. Repeat this process to continue improving auto-labeling.

Do you have any other questions? [email protected]