Amazon Rekognition improves accuracy of Content Moderation for Video - devamazonaws.blogspot.com

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. On 11/05/2021, we launched an update with improved model for image moderation that 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.

Post Updated on January 20, 2022 at 06:47PM

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