A real-time face mask detector using Tensorflow and OpenCV
This REAL TIME FACE MASK DETECTOR uses live stream camera to capture input and helps to classify if a person is wearing a face mask or not. The objective of this project is to train a deep convolutional neural network on images collected from the data to check whether a person is using a mask.
We can see that our model has an accuracy of 95.65% to predict mask or without mask from faces.
Keras
OpenCV
Numpy
Tensorflow
imutils
Matplotlib
Scikit-Learn
Dataset Credits: Prajna Bhandary
Dataset can be obtained from here.