Add Face Recognition using VGG-Face

[NEERAJAP2001]

About: It is one of the most popular and widely used facial recognition models and recorded 98.78% accuracy for the Labeled Faces in the Wild dataset. It also had 68.17% accuracy on the masked-faced dataset called RMFRD.

Steps to follow in the project :

Step 1: Dataset acquisition
Step 2: Detect faces.(will be using dlib)
Step 3: Download and load VGG_face weights.
Step 4: Get embeddings for faces.
Step 5: Train Softmax regressor for 6 person classification from embeddings.

I'd Like to work on this as part of the GSSOC-21

[DARK-art108]

Go ahead @NEERAJAP2001