Facial Recognition Challenge Among FaceNet, VGG-Face, DeepFace and OpenFace

There are several state-of-the-art face recognition models: VGG-Face, FaceNet, OpenFace and DeepFace. Some are designed by tech giant companies such as Google and Facebook whereas some are designed by the top universities in the world such as University of Oxford and Carnegie Mellon University.

So, which one is the best? We will have a discussion about this topic in this video.

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[assadiqbal]

I don't know how they calculated the accuracy of these models, but VGGface is the best.

[matthewbrown]

VGG_Face works better. If I compare a photo of the same person with and without glasses, then VHG gives the best result. Other models generally say that they are not even alike.

[udaym]

Thnak brother i try many Face Recognition library but I get best result from deepface thank you.

[SS-gutx]

Which combination of model and detector_backend do you feel works the best? In terms of accuracy and speed?

[gkN]

Very nice video. I have a doubt: is the OpenFace's structure the same as FaceNet's structure? What would be the diffence between them?

[eduardmart]

do you have videos on how to train, retrain with frozen layers one of these models?

[blackout]

do i need to have nvidia to use deepface? because i havn't nvidia and gpu in my linux server and i get errors:
- Could not load dynamic library 'libcudart.so.11.0'
- Could not load dynamic library 'libnvinfer.so.7'
- Could not load dynamic library 'libnvinfer_plugin.so.7
- Warning: Cannot dlopen some TensorRT libraries.

[krupalshah]

This video is really helpful. Thank you Sefik !