Face Mask Detection with Computer Vision & Deep Learning

Computer vision has been in high demand due to the Coronavirus pandemic to improve healthcare sector. During this time detecting small objects is a tougher task, as it uses both classification and detection using video illustration. This Object Detection demonstrated a superior feature ie, Mask Detection compared to other object detection models. This Face mask detection using YOLOv3 performed well. This Face mask detection measures performance at the same time with strong GPU and works with less computation power We add dataset which consists of both people wearing face masks and without facemask, The model is trained by this dataset consisting of face mask and no face mask. Real time video can also be used to verify whether the person is wearing mask or not. This Face Mask Detection model attained good output with 96% classification.