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Wu Dayong
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Reviewed-by: Pruthi, Vineet <vineet.pruthi@t-systems.com> Co-authored-by: Wu Dayong <wudayong1@noreply.gitea.eco.tsi-dev.otc-service.com> Co-committed-by: Wu Dayong <wudayong1@noreply.gitea.eco.tsi-dev.otc-service.com>
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Labeling Data
Model training requires a large amount of labeled data. Therefore, before training a model, label data. You can create a manual labeling job labeled by one person or by a group of persons (team labeling), or enable auto labeling to quickly label images. You can also modify existing labels, or delete them and re-label.
- Manual labeling: allows you to manually label data.
- Auto labeling: allows you to automatically label remaining data after a small amount of data is manually labeled.
- Team labeling: allows you to perform collaborative labeling for a large amount of data.
Parent topic: Data Preparation and Analysis