Detecting people with/without face masks using FasterRCNN
Used Dataset: https://www.kaggle.com/andrewmvd/face-mask-detection
About the data: Masks play a crucial role in protecting the health of individuals against respiratory diseases, as is one of the few precautions available for COVID-19 in the absence of immunization. With this dataset, it is possible to create a model to detect people wearing masks, not wearing them, or wearing masks improperly. This dataset contains 853 images belonging to the 3 classes, as well as their bounding boxes in the PASCAL VOC format. The classes are:
With mask; Without mask; Mask worn incorrectly.
FasterRCNN model with Adam optimizer is implemented in the notebook, as well as helper function for drawing boxes.
Result of the model:
