Amazon Rekognition now detects violence, weapons, and self-injury in images and videos; improves accuracy for nudity detection

Amazon Rekognition is a deep learning-based image and video analysis service that can identify objects, people, text, scenes, as well as support content moderation by detecting unsafe content. Starting today, you can detect content related to ‘Violence’ and ‘Visually Disturbing” themes, such as blood, wounds, weapons, self-injury, corpses, and more. Further, Amazon Rekognition’s ability to identify ‘Explicit Nudity’ and ‘Suggestive’ content has been improved through a 68% lower false positive rate and a 36% lower false negative rate (on average). Additionally, Amazon Rekognition now supports detection of new categories of adult content, such as unsafe anime or illustrated content, adult toys, and sheer clothing.