160x160
Face Aligned dataset:
https://github.com/satyajitghana/TSAI-DeepVision-EVA4.0-Phase-2/tree/master/04-FaceRecognition-II/indian_face_dataset_160
Dataset Creation: https://github.com/satyajitghana/TSAI-DeepVision-EVA4.0-Phase-2/blob/master/04-FaceRecognition-II/CustomLFW%26Indian_Face_Dataset.ipynb
[The above dataset was then added to LFW Dataset]
LFW-Plus-Dataset (LFW + 10 Indian People): https://drive.google.com/file/d/17k_3guDwSKclVjpyxEmgSmRvB0Z64LCq/view?usp=sharing
Training:
(Training on LFW + 10 Indian People)
https://github.com/satyajitghana/TSAI-DeepVision-EVA4.0-Phase-2/blob/master/04-FaceRecognition-II/Train_MTCNN_LFW_Plus.ipynb
(Training on 10 faces only)
https://github.com/satyajitghana/TSAI-DeepVision-EVA4.0-Phase-2/blob/master/04-FaceRecognition-II/Train_MTCNN_Indian_Face.ipynb
All of the TensorClan Models can be found at https://drive.google.com/drive/folders/15y4WyvaJI9AsfioKUNX1inJtrDqn2UvV?usp=sharing
Indian Faces Dataset
LFW Dataset
Backend: https://thetensorclan-backend.herokuapp.com/
Code for FrontEnd: https://github.com/extensive-vision-ai/thetensorclan-web
Code for BackEnd: https://github.com/extensive-vision-ai/thetensorclan-backend-heroku
[right click -> open image in a new tab]
for better experience
Remember that we had created FaceAlign previously in Face-Recognition-I ? we simply supply our face image to that AWS Lambda API and get the aligned face, now we have added the face recognition model to heroku(why ? see notes), and now its simply matter of sending the aligned face to the model backend and fetching the results ! that’s it !