Face mask detection using YOLOv3 and faster R-CNN models: COVID-19 environment

• Published in: Multimedia tools and applications Vol. 80; no. 13; pp. 19753 - 19768
• Main Authors: Singh, Sunil, Ahuja, Umang, Kumar, Munish, Kumar, Krishan, Sachdeva, Monika
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.05.2021; Springer Nature B.V
• Subjects: Computer Communication Networks; Computer Science; Coronaviruses; COVID-19; Data Structures and Information Theory; Disease control; Environment models; Masks; Multimedia Information Systems; Object recognition; Special Purpose and Application-Based Systems; Viral diseases; COVID-19; Deep learning; YOLO v3; Face mask detection; Faster R-CNN

There are many solutions to prevent the spread of the COVID-19 virus and one of the most effective solutions is wearing a face mask. Almost everyone is wearing face masks at all times in public places during the coronavirus pandemic. This encourages us to explore face mask detection technology to mo...