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This project forked from ikigai-aa/face-mask-detector-using-mobilenetv2

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This is a simple image classification project trained on the top of Keras/Tensorflow API with MobileNetV2 deep neural network architecture having weights considered as pre-trained 'imagenet' weights. The trained model (mask-detector-model.h5) takes the real-time video from webcam as an input and predicts if the face landmarks in Region of Interest (ROI) is 'Mask' or 'No Mask' with real-time on screen accuracy.

License: Apache License 2.0

Jupyter Notebook 90.17% Python 9.83%

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