Exadel CompreFace icon
Exadel CompreFace icon

Exadel CompreFace

Exadel CompreFace is a free and open-source face recognition system from Exadel. CompreFace provides REST API for face recognition, face verification, face detection, landmark detection, age, and gender recognition and is easily deployed with docker.

Face recognition service test page

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Platforms

  • Mac
  • Windows
  • Linux
Face verification service test page
Face detection service test page
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Features

Properties

  1.  AI-Powered

Features

  1.  Face detection
  2.  Facial Recognition
  3.  On-premises software
  4.  REST API

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Exadel CompreFace information

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Development

GitHub repository

  •  8,314 Stars
  •  1,177 Forks
  •  234 Open Issues
  •   Updated  
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Our users have written 1 comments and reviews about Exadel CompreFace, and it has gotten 12 likes

Exadel CompreFace was added to AlternativeTo by skulenko on and this page was last updated .

Comments and Reviews

   
alexey_gir
1

Great open source solution utilizing latest AI algorythms for face recognition. Easy to integrate, easy to scale

[Edited by alexey_gir, December 23]

Review from a new or low-activity account — shown here, but not counted in the app rating.

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What is Exadel CompreFace?

Official website: https://exadel.com/solutions/compreface/ Github link: https://github.com/exadel-inc/CompreFace

Exadel CompreFace is a free and open-source face recognition GitHub project. Essentially, it is a docker-based application that can be used as a standalone server or deployed in the cloud. You don’t need prior machine learning skills to set up and use CompreFace.

The system provides REST API for face recognition, face verification, face detection, face mask detection, landmark detection, age, and gender recognition. The solution also features a role management system that allows you to easily control who has access to your Face Recognition Services.

CompreFace is delivered as a docker-compose config and supports different models that work on CPU and GPU. Our solution is based on state-of-the-art methods and libraries like FaceNet and InsightFace.

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