face-quality

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face image illumination quality assessment implement by pytorch

Quality Metrics for face identification problem

This is a demo project that incorporates 3D passive face liveness detection, face recognition, face capture, and analysis of face attributes including age, gender, face quality, face occlusion, eye closure, and mouth opening.

This is a demo project that incorporates 3D passive face liveness detection, face recognition, face capture, and analysis of face attributes including age, gender, face quality, face occlusion, eye closure, and mouth opening.

Flutter face attribute: face liveness detection, face recognition, face auto-capture, and analysis of face attributes including age, gender, face quality, face occlusion, eye closure, and mouth opening

Code for Troubleshooting Ethnic Quality Bias with Curriculum Domain Adaptation for Face Image Quality Assessment

✨FaceQualityAssurance is a tool to validate the quality of faces images for registration on devices that use facial recognition

Codes for face quality enhancement methods

On-premise Windows Face Recognition SDK with offline 1:1 verification, 1:N identification, face detection, and ICAO quality assessment. Local HTTP REST API + Python bindings. No cloud, full data privacy. Ideal for access control, KYC, and identity verification.

This repository contains solutions or files of my attempt for the AI Austraial task of Image Analytics. The submission language is Python.

VisionLite is a low-latency Android face vision toolkit for detection, alignment, embedding, anti-spoofing, and quality analysis.

Experiment code used in paper 'What Is the Challenge for Deep Learning in Unconstrained Face Recognition?'