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Google doesn't run those images through a pixel-level ConvNet, Google's algo uses a combo of the HTML info surrounding the image and the image's popularity. Running every image on the web through a CNN would be computationally infeasible

ConvNets for image classification (like what the article is about) often achieve better-than-average-human performance

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> better-than-average-human performance

There is false, except under some contrived tests. NNs still aren't very good at handling rotations, can be confused by changing single pixels and often recognise shapes out of complete static.

It DOES run your photos that you store in google photos through (at least according to public statements)

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