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Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases. With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required.

World-Class Image Moderation & More. Discover a faster, more efficient way to keep user-generated content clean. Given the complexities associated with nuance and context, our human moderators are trained to flag violations that fall into the gray areas and make final image decisions that align with your brand standards. Our Automated Intelligent Moderation (AIM) API service offers 24/7 protection from the risks associated with having user-generated content on your brand channels—detecting and removing unwanted images in real-time. This one-of-a-kind solution delivers the best of automated and live moderation through a single, easy-to-use API. AI technology detects images with a high probability of containing undesirable content, limiting the volume that requires human review. The remaining images are then queued up for moderation by experts who are trained to flag any additional violations.