Almost 80% of today’s web content is user-generated, creating a deluge of content that organizations struggle to analyze with human-only processes. The availability of consumer information helps them make decisions, from buying a new pair of jeans to securing home loans. In a recent survey, 79% of consumers stated they rely on user videos, comments, and reviews more than ever and 78% of them said that brands are responsible for moderating such content. 40% said that they would disengage with a brand after a single exposure to toxic content.
Amazon Rekognition has two sets of APIs that help you moderate images or videos to keep digital communities safe and engaged.
One approach to moderate videos is to model video data as a sample of image frames and use image content moderation models to process the frames individually. This approach allows the reuse of image-based models. Some customers have asked if

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