Masked Face Analysis
Vatsa Sanjay Patel
Face identification with wearables has been a difficult topic in computer vision since it includes detecting persons who are wearing a face mask. Masked face analysis for the purpose of identifying face masks has the potential to significantly increase performance in a wide variety of face analysis applications. The suggested concept is a single framework for determining the kind of face mask worn by a person. We begin by contributing the mask dataset, which includes a range of face masks. Then, we introduced a deep learning model that takes an input image of a human face wearing a mask and determines the kind of face mask worn by the human face. The presented dataset and methodology will aid in future research on face detection using the mask.
Van Tam Nguyen
Primary Advisor's Department
Stander Symposium project, College of Arts and Sciences
United Nations Sustainable Development Goals
"Masked Face Analysis" (2022). Stander Symposium Projects. 2476.