Comparative Analysis of Object Detection Algorithms for Face Mask Detection

COVID-19 has made mankind see unprecedented and unbelievable times with millions of people being affected due to it. Multiple countries have started vaccinating their populations in the hope that it will end pandemic. Given inequitable access vaccines across world highly mutating coronavirus remains be seen when everyone get how effective might prove over virus variants. Therefore, standard COVID behaviour is here stay for some time. Wearing face masks one such etiquette which greatly reduces risk getting infected. Employing public mask detection systems helped multiple bring pandemic under control. In this paper we done a quantitative analysis different object algorithms namely ResNet,MobileNetV2 CNN on accuracy recall parameters using an unbiased, large diverse dataset order algorithm can applied mass scale.