[NegatioN]

I haven't compared image models in a long while, so I don't know the relevant performance metrics. But even a few years ago, you would usually use a pretrained model, and then finetune on your own dataset though. So those models would also have "seen millions of images", and not just your 100k.

This change of not needing ML engineers is not so much about the models, as it is about easy API access for how to finetune a model, it seems to me?

Of course it's great that the models have advanced and become better, and more robust though.