There are tons of hand-crafted features in the 'random' datasets. The utility of these same features (edges, corners, gradients, etc) where 'discovered' over ti

There are tons of hand-crafted features in the 'random' datasets. The utility of these same features (edges, corners, gradients, etc) where 'discovered' over time by previous generations of CV researchers. Saying "training neural nets on known useful training data leads to decent performance" is not interesting or surprising.