> Many vision tasks in the real world can actually be constrained by camera angles
Ah, the Thatcher effect! [0][1] Although IMO this is a bad example because (er, AFAIK) we don't have the same sort of hardcoded facial-feature-recognizer systems in computer-vision neural nets as we do in boring old hew-mons. The Thatcher effect works on people with prosopagnosia [2] ('face blindness', people who have to work out who you are by your clothing, gait, voice and body language). These, taken together, proved that the known full-face-detector in humans, the fusiform gyrus, is aided by other systems that recognize features of a face (eyes, mouth) independently of that face's vertical orientation.
[0] https://en.wikipedia.org/wiki/Thatcher_effect
[1] http://static.independent.co.uk/s3fs-public/styles/story_med... < here's the trope-namer, straight outta the 80s. The effect is much more pronounced in this image than in the wiki one; it's way more obvious that the mouth/eyes are 'properly oriented' despite being upside down
Check out neural prosthesis to see how clusters of neurons in the brain are at just excellent at learning whatever signals you throw at them on the fly.
The fact is the brain takes convenient shortcuts whenever possible. The ability to detect smiles is indeed conducive to social behavior in humans. But the ability to distinguish smiles on upside down faces is not particularly useful for anything in real life. It's just an interesting quirk. The brain just recognizes the smile, and shortcuts any additional (useless) post-attentive processing.
I've seen this cut both ways. Particularly in neural nets for video, which I'm working on, datasets such as HMDB51 are extremely difficult to the point where they may not represent the difficulty of the real world application. Many vision tasks in the real world can actually be constrained by camera angles, assumptions based on experience about what kinds of objects are in the frame, lighting considerations, or other things that make the real world task actually easier than the dataset.
> AI won't save a broken business plan.
Best point in the article and the thing I worry most about day to day. Even if your AI is crazy good, if you don't have a market and people willing to pay for your product then it doesn't matter.