Verifying predictions and training adapters - Amazon Rekognition

Verifying predictions and training adapters

Bulk Analysis can also be leveraged through the Rekognition console to get predictions for a batch of images, verify these predictions, and then create an adapter using the verified predictions. Adapters allow you to enhance the accuracy of any supported Rekognition operation.

Currently, you can create adapters for use with the Rekognition Custom Moderation feature. By creating an adapter and providing it to the DetectModerationLabels operation, you can achieve better accuracy for the content moderation tasks related to your specific use case.

For more information about Custom Moderation, see Enhancing accuracy with Custom Moderation. See Bulk analysis and verification for an explanation of how to verify predictions made with Bulk analysis. For a tutorial covering how to use the Rekognition console to verify predictions and create an adapter, see Custom Moderation adapter tutorial.