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Face Mask Detection with CNN using OpenCV and Keras

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Prajna Bhandary's Face Mask Dataset

Process-Flow

  • Training set contained 958 images and Testing set contained 406 images belonging to masked and non-masked class
  • CNN Binary Classifier was developed with adam optimizer and total trainable parameters in the model were 26529
  • Classifier was trained over 10 epochs
  • Training Accuracy of 0.983 and Validation Accuracy of 0.980 was achieved

Accuracy Curve

Loss Curve

Demo of the Classifier

Face Mask Detection-1

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Face Mask Detection with CNN using OpenCV and Keras

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