This project uses transfer learning with the ResNet50 model to develop an efficient face mask detection system. By leveraging pre-trained weights and data augmentation, the model accurately classifies images as masked or unmasked, contributing to public health and safety by ensuring mask-wearing compliance.
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This project uses transfer learning with the ResNet50 model to develop an efficient face mask detection system. By leveraging pre-trained weights and data augmentation, the model accurately classifies images as masked or unmasked, contributing to public health and safety by ensuring mask-wearing compliance.
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emirkaanozdemr/Face-Mask-Detection-using-ResNet50
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This project uses transfer learning with the ResNet50 model to develop an efficient face mask detection system. By leveraging pre-trained weights and data augmentation, the model accurately classifies images as masked or unmasked, contributing to public health and safety by ensuring mask-wearing compliance.
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