ksasi/face-recognition

Fine-Tune popular face-recognition architectures with LFW and QMUL-Survface datasets for evaluating Low Resolution Face Recognition

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Experimental

This project helps evaluate and improve facial recognition systems, especially for low-resolution images common in surveillance or older cameras. It takes existing face recognition models and face image datasets as input, then fine-tunes and evaluates their ability to identify individuals. Security system developers, researchers in computer vision, and those working with surveillance technology would use this to assess and enhance their systems.

No commits in the last 6 months.

Use this if you need to fine-tune and benchmark the performance of popular facial recognition models on standard datasets, particularly focusing on how well they perform with low-resolution images.

Not ideal if you are looking for a ready-to-deploy, end-user application for face recognition without needing to engage with model training or evaluation.

facial-recognition surveillance-technology image-processing biometric-security computer-vision-research
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 6 / 25

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Stars

12

Forks

1

Language

Python

License

Apache-2.0

Last pushed

Jan 11, 2023

Commits (30d)

0

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