Enhanced Content Moderation is now available for Amazon Rekognition Video
Amazon Rekognition Video is a deep learning-based video analysis service that can identify objects, people, text, scenes, and activities, as well as detect unsafe content. Content Moderation for Amazon Rekognition Video can identify various types of explicit and suggestive content, as well as timestamps for where such content appears during the video. Amazon Rekognition Video now comes with an enhanced moderation model that reduces false positive rates by 40% on average without any reduction in detection rates for truly unsafe content. Lower false positive rates imply lower volumes of flagged videos to be further reviewed by human moderators, leading to higher efficiency and more cost savings. Moreover, Amazon Rekognition provides a hierarchical set of moderation labels that can be used to create business rules to handle different geographic and demographic requirements. For more details on supported labels, please see this page. No machine learning experience is required to get started.
Enhanced video moderation is available today in all regions where Amazon Rekognition Video is offered, except for AWS GovCloud (US). You can get started today via the Rekognition Console. For more information please refer to the documentation. Amazon Rekognition already supports these features for images.