title,doi,url,abstract,journal,publication_year,pmid,arxiv
Face Mask Recognition Using MobileNetV2, https://doi.org/10.32628/CSEIT1217519, https://ijsrcseit.com/CSEIT1217519, The pandemic of Corona Virus Disease is generating a public health emergency. Wearing a mask is one of the most efficient ways to combat the infection. This paper presents the detection of face masks through mitigating evaluating preventing and preparing actions regarding COVID-19. In this work face mask identification is achieved using Machine Learning technique and the Image Classification algorithms are MobileNetV2 with major changes which includes Label Binarizer ImageNet and Binary Cross-Entropy. The methods involved in building the model are collecting the data pre-processing image generation model construction compilation and finally testing. The proposed method can recognize people with and without masks. The training accuracy of the proposed method is 98.5% and the testing accuracy is 99%. This model is implemented in an image or video stream to detect faces with mask., International Journal of Scientific Research in Computer Science Engineering and Information Technology, 2021, CSEIT1217519