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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. Amazon Rekognition provides a detailed taxonomy across 35 sub-categories and 10 distinct top-level moderation categories. Starting today, Amazon Rekognition content moderation comes with an improved model for image moderation that significantly reduces false positive rates across all of the moderation categories, particularly ‘explicit nudity’, without reduction in detection rates for truly unsafe content. Lower false positive rates imply lower volumes of flagged images to be reviewed further, leading to a better experience for human moderators and more cost savings.

Source:: Amazon AWS