Face mask classification using convolutional neural networks with facial image regions and super resolution
Niwan Wattanakitrungroj,
Wiphada Wettayaprasit,
Peemakarn Rujirapong
et al.
Abstract:<p>Face mask classification is relevant to public health and safety, so an approach for face mask classification using Multi-Task Cascaded Convolutional Networks (MTCNN) for face detection on image data, ResNet152 architecture for feature extraction, and super-resolution method, BSRGAN, for enhanced image quality was proposed. The classification model was trained by a fully connected layer of neural networks. The goal is to classify each facial image into three classes: the image with a mask, without a m… Show more
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