Improving Content Moderation with Amazon Rekognition Bulk Analysis and Custom Moderation
Machine Learning Blog
This article discusses how to improve content moderation using Amazon Rekognition's bulk analysis and custom moderation features.
Specifically, the article covers:
- Content moderation model version 7.0 and its capabilities, including 26 new moderation labels, a three-tier label taxonomy, and the ability to identify animated and illustrated content
- How Amazon Rekognition's bulk analysis feature works for content moderation, including steps for creating a bulk analysis job via the console and API
- How to improve content moderation predictions by verifying results from bulk analysis and training a custom moderation adapter based on false positives and false negatives
- Conclusion summarizing the key points
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