The training/testing data for ImageNet are not all tiny thumbnails. It's just that the models work better/are more cleanly defined with uniform inputs, so images are scaled/cropped down to the 224x224 or 299x299 or whatever dimensions. Inception-ResNet works fine on huge images, it just doesn't use all of the pixel data.