Keras mentions that it provided models pretrained on ImageNet. However, it doesn't specify what they mean by "ImageNet" - like is it a certain subset of ImageNet of the complete set of images? I mean, I have a hard time imagining that they have used all the 14 million images for pretraining but maybe I am wrong.
I have read quite a lot of research papers about some of the proposed architectures and they are all trained on subsets of ImageNet specific to the ImageNet Large Scale Visual Recognition Challenge and this is explicitly mentioned in the papers. Of course, if these Keras weights are actually representing the whole ImageNet, there is no problem :-) But would like some sort of confirmation/affirmation.
Does anyone know more specifically what is mean by "ImageNet"? https://keras.io/api/applications/