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Face mask detection: classifying image data

Posted 11 months ago
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Very nice fine tuning!

One small bit of code simplification could be

FindFaces[image, "Image", PaddingSize -> Scaled[0.1]]

instead of trimming in a separate steps. This way you can also add an arbitrary padding taken from the original image.

You can even take advantage of the built-in listability of the NN framework to write

trainedNet[FindFaces[image, "Image"]]

that will evaluate the net in batch mode and will be faster when image contains multiple faces.

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