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.
Cost / License
- Free
- Open Source (Apache-2.0)
Platforms
- Mac
- Windows
- Linux
Features
- Face detection
- Facial Recognition
- On-premises software
- REST API
- AI-Powered
Tags
- Artificial intelligence
- Machine Learning
- Api
- computer-vision
- development
Exadel CompreFace News & Activities
Recent activities
johnnn added Exadel CompreFace as alternative to Face Shape AI
faceplugin added Exadel CompreFace as alternative to FacePlugin
POX added Exadel CompreFace as alternative to Deepface
Exadel CompreFace information
Developed by
Exadel Licensing
Open Source (Apache-2.0) and Free product.Written in
Alternatives
19 alternatives listedSupported Languages
- English
AlternativeTo Category
DevelopmentGitHub repository
- 7,151 Stars
- 990 Forks
- 228 Open Issues
- Updated
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.
Comments and Reviews
Great open source solution utilizing latest AI algorythms for face recognition. Easy to integrate, easy to scale
[Edited by alexey_gir, December 23]