Face Mask Detection Using Deep Learning: A Comparative Study of CNN, VGG16 and MobileNetV2 for Real-Time Applications
A comparative study of three deep learning architectures, namely a Custom Convolutional Neural Network (CNN), VGG16, and MobileNetV2, for face mask detection indicates that lightweight transfer learning models offer an effective and practical solution for real-time face mask detection in resource-constrained environmen...