In this blog, we propose a neural network architecture that is able to differentiate whether people are wearing face masks in a real-time setting. This can be potentially used to monitor individuals who are not wearing face masks in a crowd, which can be useful for many different applications, like research on contagiousness of the virus and for supervision purposes. An approach is shown how to practically train and test a neural network model with a non-standard self-augmented dataset in the topic of image recognition in computer vision. …

Frederik Westerhout

MSc Robotics - TU Delft

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