In the deep learning, using a convolutional neural network (CNN) we are trying to detect which faces wear MASK and which no.
A face mask detection dataset consists of “with mask” and “without mask” images. We will use the dataset to build a COVID-19 face mask detector with computer vision and deep learning using Python, OpenCV, and TensorFlow/Keras.
This dataset consists of 1,376 images belonging to two classes:
Our goal is to train a custom deep learning model to detect whether a person is or is not wearing a mask.
Note: For convenience, I have included the dataset created by Prajna.
$ python preprocessing.py
$ python train.py
$ python demo.py
I am not owner of most of things and I just used a dataset which avaiable on the following links. It was so funny for me to implenment and test and running this idea (Detect Masky face) in my machine.
Thank you from all and specially from keras, sklearn developers.