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Amazon Rekognition

Moderation & TrustAutomation & AIAutomated ModerationContent Filtering & SafetyAI Content & Moderation Toolspaid

Amazon Rekognition is AWS's machine learning-powered image and video analysis service that community builders can leverage for automated content moderation and safety. Community managers can use its content moderation APIs to automatically detect inappropriate, unsafe, or unwanted visual content across member-uploaded images and videos. The service also offers face detection and verification capabilities that can enhance community security by detecting fake profiles or verifying member identities during onboarding.

Founded

2006

Team Size

157,493

3%

Funding

EXITED

$43.8M total

Monthly Traffic

61,130,000

11%

Key Features

  • •Content moderation
  • •Face detection and verification
  • •Custom object detection
  • •Text extraction
  • •Real-time analysis

Use Cases

Automated Content Moderation

Automatically scan member-uploaded images and videos for inappropriate, unsafe, or unwanted content to maintain community safety standards

Identity Verification

Use face detection and liveness verification to authenticate new members during onboarding and prevent fake accounts

Brand Protection

Detect unauthorized use of brand logos or copyrighted content in member-generated visual content

Target Users

community managersplatform developerssafety teams

Tags

content-moderationautomated-safetyimage-analysisvideo-moderationml-powered

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