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The present work involves a model for face mask detection within python syntax. CNN was implemented, and the convolution procedures has three repeated steps for 3 times (conv2D, Maxpooling, Dropout). As mentioned, the model applied data augmentation which pursued high accuracy, 99%. On top of that, the model is neither underfitting nor overfitting.

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