A deep learning model to detect face mask in images using MobileNET.
I used GPU accelerator for this model since teh GPU version of Tensorflow was required for MobileNet.
You can use your own GPU system or if you don't have a GPU you can either use GOOGLE COLAB or KAGGLE kernels which provide their own GPU kernels.
Libraries used:
Tensorflow
Keras
Numpy
Pandas
OpenCV
Scipy
Download all the datasets from below links and put then inside a folder named input inside main folder.
https://www.kaggle.com/ashishjangra27/face-mask-12k-images-dataset
https://www.kaggle.com/andrewmvd/face-mask-detection
https://www.kaggle.com/gpreda/haar-cascades-for-face-detection
https://www.kaggle.com/lalitharajesh/lbpcascade
The output looks like:
