Abstract
Among the most rapidly developing areas in computer vision is object detection. Mask detection is the main objective of the effort. With the use of deep learning and computer vision techniques, this project offers a reliable method for mask identification that is implemented using RESNET architecture. Identifying faces and differentiating between people wearing masks and those without is the main goal. The model is refined via transfer learning on a customized dataset that includes annotated photos of faces that have been masked, masked incorrectly and unmasked faces.
