ImageNet Roulette deliberately uses a terrible categorization scheme that has long been acknowledged as so poor as to not admit meaningful results in order to make the highly political point that ML should never be applied to people. There's a reason most people scrub that whole piece of the taxonomy before training.

Good Resnet models trained on ImageNet (the good parts, not just people) tend to result in state of the art results for almost every transfer-learning domain they're applied to.