fdbtrs/mixfacenets

Official repository for MixFaceNets: Extremely Efficient Face Recognition Networks

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This project offers highly efficient models for face recognition, designed to identify individuals from images quickly and accurately. It takes in face images and outputs a recognized identity or confirms if two faces belong to the same person. It's ideal for anyone building systems that need to verify or identify people based on their facial features, especially where computational resources are limited.

No commits in the last 6 months.

Use this if you need to integrate fast and accurate face recognition capabilities into an application, such as for secure access systems, identity verification, or photo management, without requiring extensive processing power.

Not ideal if your primary goal is general object detection or facial expression analysis rather than specifically identifying individuals.

facial recognition biometric security identity verification image analysis access control
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 17 / 25

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Stars

70

Forks

12

Language

Python

License

MIT

Last pushed

Aug 08, 2021

Commits (30d)

0

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