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Repository Details
Face Mask Detection is simple model build using Tensorflow, Keras, MobileNet and OpenCV. The model is accurate since it uses MobileNetV2 architecture which is computationally efficient. This system can therefore be used in real-time applications which require face-mask detection for safety purposes due to the outbreak of COVID-19. The whole programming part is done in Google Colab. Since most of python library is pre-installed in Google Colab it will be easy to write the code.
