In this recent global pandemic, it is very essential to wear a mask while going into crowded place. So it is an Android application which take a picture as input and detectes human faces and classifies them as wearing mask or not.
- The following screenshots are taken from the application. The face detected without mask is enclosed with a red box and a face covered with a mask is enclosed in a green box.
Used Firebase MLKit to recognize human faces and then used Auto-ML to train a model which classifies and label human faces as wearing or not wearing mask.
Navigate to /facedetector folder to view the initial data used for building the TFlite Model.
Visit /TFlite_model folder to get the model.