Rekognition Content Moderation
Managed image and video moderation labels on AWS.
Made by AmazonImage and video analysis
About Rekognition Content Moderation
Amazon Rekognition Content Moderation automates and streamlines image and video moderation workflows using machine learning, without requiring ML experience. It is offered with fully managed APIs and customizable moderation rules.
The service covers explicit adult or suggestive content, violence, drugs, tobacco, alcohol, hate symbols, gambling, and disturbing content in images and videos. Use cases named on the page include social media, gaming, ecommerce, advertising, and media and entertainment. Pricing is pay-as-you-go based on the number of images or the duration of videos processed, with no minimum fees, licenses, or upfront commitments.
Drafted from aws.amazon.com · not yet confirmed by Amazon
How it works
Rekognition's moderation API returns a hierarchy of labels for an image or video frame: explicit nudity, suggestive, violence, visually disturbing, drugs, alcohol, tobacco, gambling, hate symbols, and so on, each with a confidence. Video is processed asynchronously with timestamps. Custom Moderation lets you train an adapter on a few dozen images to fix specific misses.
It's the pragmatic choice on AWS: no vendor to onboard, pay per image, and Augmented AI can route low confidence results to human review.
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