This is a face mask recognition using machine learning techniques using Supervised learning, CNN and Sequential learning . This project model has achieved 99.73% of accuracy with validation accuracy of 99.72% and losses of 2.32% and validation losses of 2.33% in 20 epochs.
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This is a face mask recognition using machine learning techniques using Supervised learning, CNN and transfer learning .
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git-devanand/dev-face-mask-detector
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This is a face mask recognition using machine learning techniques using Supervised learning, CNN and transfer learning .
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