GitHub - emmdaz/Face-Recognition: This is a Conv2D model based on MobileNetV2 to first create a facial attribute clasificator which then was used as a pretrained model for a face recognition code. It has an accuracy of ~85% (using my own face to be recognized).

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 12 Commits
Models		Models
Trials		Trials
Face-Recognition-Conv2D-Fine-Tunned.keras		Face-Recognition-Conv2D-Fine-Tunned.keras
Face-Recognition-Conv2D.ipynb		Face-Recognition-Conv2D.ipynb
Face-Recognition-Conv2D.keras		Face-Recognition-Conv2D.keras
Face-Recognition-Conv2D.py		Face-Recognition-Conv2D.py

About

This is a Conv2D model based on MobileNetV2 to first create a facial attribute clasificator which then was used as a pretrained model for a face recognition code. It has an accuracy of ~85% (using my own face to be recognized).

artificial-neural-networks face-recognition face-detection convolutional-neural-networks residual-neural-network mobilenetv2 mobilenet-v2