Deep learning vision algorithms often fail at classifying images because they take cues from textures, not shapes. This is a really interesting look at how machine vision actually processes the world.
This is absolutely fascinating and a great approach as to how relatively minor changes might make all the difference to your algorithms and outcomes.
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