Amazon Rekognition provides two API sets for visual analysis:
Amazon Rekognition Image for image analysis
Amazon Rekognition Video for video analysis
Image analysis
With Amazon Rekognition Image your applications can:
Detect objects, scenes, and concepts in images
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Recognize celebrities
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Detect text in a variety of languages
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Detect explicit, inappropriate, or violent content or images
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Detect, analyze, and compare faces and facial attributes like age and emotions
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Detect the presence of PPE
Use cases include enhancing photo apps, cataloging images, and moderating content.
Video analysis
With Amazon Rekognition Video, your applications can:
Track people and objects across video frames
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Recognize objects
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Recognize celebrities
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Search stored and streaming video for persons of interest
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Analyze faces for attributes like age and emotions
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Detect explicit, inappropriate, or violent content or images
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Aggregate and sort analysis results by timestamps and segments
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Detect people, pets, and packages in streaming video
Use cases include video analysis, cataloging videos, and filtering inappropriate content.
Key features
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Powerful deep learning analysis
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High accuracy detection for objects, scenes, faces, text
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Easy to use API for integrating into apps
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Customizable models tuned to your data
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Scalable analysis of media libraries
Amazon Rekognition lets you enhance the accuracy of certain deep learning models by training a custom adapter. For example, with Amazon Rekognition Custom Moderation, you can adapt Amazon Rekognition ’s base image analysis model by training a custom adapter with your images. See Enhancing accuracy with Custom Moderation for more information.
The following sections cover the types of analysis that Amazon Rekognition provides and an overview of Amazon Rekognition Image and Amazon Rekognition Video operations. Also covered is the difference between non-storage and storage operations.
To demo the Amazon Rekognition APIs, you can see Step 3: Getting started using the AWS CLI and AWS SDK API, which covers trying out Rekognition in the AWS console.
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