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doc-exports/docs/modelarts/umn/dataprepare-modelarts-0025.html
Lai, Weijian 4e4b2d5f6d ModelArts UMN 23.3.0 Version. 
Reviewed-by: Hasko, Vladimir <vladimir.hasko@t-systems.com>
Co-authored-by: Lai, Weijian <laiweijian4@huawei.com>
Co-committed-by: Lai, Weijian <laiweijian4@huawei.com>
2024-06-26 07:03:02 +00:00

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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.