Tutorials and workshops

Courses on fundamentals

An overview of key features and benefits, and how to build computer vision applications

Explore key features and get a product demonstration

(8 minutes)

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Hands-on Rekognition: Automated image and video analysis

(15 minutes)

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Building computer vision based smart applications

(30 minutes)

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Getting started tutorials

Step-by-step guides for getting started with Amazon Rekognition

Analyze video & extract metadata

Detect, analyze, & compare faces

Detect custom objects in images


Get hands-on experience with Amazon Rekognition

Developer guides

Product overview, instructions for using the features, and complete API reference for developers

Amazon Rekognition Developer Guide


Amazon Rekognition Custom Labels Developer Guide


Amazon Rekognition Identity Verification Whitepaper


Use case videos

Amazon Rekognition overview

Two-minute overview of Amazon Rekognition
What is Amazon Rekognition? (1:42)

Key use cases and functionality

An overview of key use cases, related features, and benefits
Content moderation (36:09)
Custom Labels (57:15)
Identity verification (17:03)
Online exam invigilation (11:24)
Streamlining media content operations with AI (30:02)
Identity Verification Solution In Action (3:55)
AWS Content Moderation in Action (1:20)
AWS Identity Verification Solution in Action (1:14)
Evaluating an Identity Verification Solution – AWS Online Tech Talks (35:55)

Responsible AI

Key considerations in the responsible design and use of Amazon Rekognition Face Matching

Deploy solutions

GitHub templates to accelerate solution deployment
  • Image and video analysis
  • Solution Get Started
    Reference architecture for large scale image and video processing using Amazon Rekognition. GitHub
  • Media and marketing
  • Solution Get Started
    Media Insights Engine - a framework for building applications that process video, images, audio, and text on AWS. GitHub
    Detect video segments such as Black Frames, End Credits, and Color Bars using the Amazon Rekognition SegmentDetection and TechnicalCues APIs. GitHub
    Calculate and display audience engagement levels using the Amazon Rekognition Faces APIs. GitHub
    Media2Cloud - framework for ingesting video assets with AI/ML enhanced metadata GitHub
    Finding opportunities for overlay Ad placements in videos using Amazon Rekognition Text in video API. GitHub
    Identify and detect specific brands in videos and images using Amazon Rekognition Custom Labels.
  • Custom Labels
  • Solution Get Started
    Cost-optimized batch processing of images using Amazon Rekognition Custom Labels. GitHub
    Amazon Rekognition Custom Labels demo solution. GitHub
    Amazon Rekognition Custom Labels model feedback solution.
  • Online exam invigilation
  • Solution Get Started
    Reference architecture for online exam invigilation using Amazon Rekognition Faces, Labels, and Text APIs. GitHub
  • Workplace safety
  • Solution Get Started
    Process frames from cameras to detect Personal Protective Equipment such as helmet, gloves, and masks using DetectProtectiveEquipment API. GitHub
    Detect a specific Personal Protective Equipment such as high visibility vest and safety goggles using Custom Labels.


Identity verification using Amazon Rekognition

Accelerate your identity verification projects using AWS Amplify and Amazon Rekognition sample implementations

How to decide between Amazon Rekognition image and video API for video moderation

Content moderation design patterns with AWS managed AI services

Metrics for evaluating content moderation in Amazon Rekognition and other content moderation services

Amazon Rekognition adds support for six new content moderation categories

All blog posts

No blog posts have been found at this time. Please see the AWS Blog for other resources. 

Explore Amazon Rekognition pricing
Explore Amazon Rekognition pricing

Learn more about Amazon Rekognition pricing by visiting the pricing page.

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