>Is trying to emulate our own recognition system the best possible approach? It might end up inheriting all our edge cases as well. I agree, I wouldn't want to

>Is trying to emulate our own recognition system the best possible approach? It might end up inheriting all our edge cases as well. I agree, I wouldn't want to emulate human recognition too closely. But I think humans have a bunch of simple heuristics that have yet to be modeled, that can sit in front of heavy ML algorithms. First I think there should be a garbage/unreal filter that all images have to pass through, this would eliminate all those static-y looking adversarial images that can pass for pandas or whatever.