Deep Learning based Face Mask Detection Using YoloV5
Ongoing Corona virus disease 2019 (Covid19) pandemic, face mask wearing in public could reduce number of COVID 19 infected by minimizing the release of respiratory droplet from infected people. This paper is to study an effective method for face mask detection using a deep learning model created by "Yolov5" Comparative model developed with a different number of epochs: 20, 50, 100, 300 and 500. The experimental results show that the deep learning model created with 300 epochs has the highest performance with an accuracy of 96.5%
2021 9th International Electrical Engineering Congress (iEECON)