Amazon Rekognition improves accuracy of content moderation for images

Amazon Rekognition content moderation is a deep learning-based feature that can detect inappropriate, unwanted, or offensive images and videos, making it easier to find and remove such content at scale. Starting today, Amazon Rekognition content moderation comes with an improved model for image moderation that significantly reduces false positive rates for e-commerce, social media and online communities content, without reduction in detection rates for truly unsafe content. Lower false positive rates mean faster approvals for user uploaded content leading to a better end-user experience. Lower false positive rate also imply lower volumes of flagged images to be reviewed further, leading to a better experience for human moderators and more cost savings.

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