Amazon Rekognition Content Moderation automates and streamlines your image and video moderation workflows using machine learning (ML), without requiring ML experience.
It's 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.
Last week, Amazon Rekognition content moderation comes with an improved model for image moderation that significantly reduces false positive rates for e-commerce, social media and online communities' content, without reduction in detection rates for truly unsafe content.
Lower false positive rates mean faster approvals for user uploaded content leading to a better end-user experience. Lower false positive rate also implies lower volumes of flagged images to be reviewed further, leading to a better experience for human moderators and more cost savings.
