Face Mask Detection

Face mask detection dataset is created by collecting several images of people who are not wearing masks, wearing masks of different masks by extracting them from different sources or machines (cameras) of different resolutions. After that, our annotation team annotated those images with two different labels, such as mask, no mask. The main goal of this dataset is to create an AI-based system that will alert a person if a person is not wearing the mask.