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Well, I'm guessing having all of these would give you some sort of "ranking" between different images? A model would have to guess that ranking again, with a few images taken out as validation. Class activations maps could be used to find which part of the image is used when?
Yeah I was thinking along those lines. Sounds like easier said than done though.
Like most computer vision problems :P But I think at least having a very high level overview of how to handle this type of problem is a good start in evaluating the feasibility
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