Here it is, the “Bambi & bees” French restaurant.
When I first looked at this photo of a bee, a part of me was happily shocked and said to me “what a snout, it’s Bambi ”!
And iNat computer vision was very human-like : it suggested Mustela frenata, with a quite Bambi-like snout indeed.
Yet it was not human in that another part of me was puffing, of course.
Therefore, would it be wild to suggest that contrary to computer vision, humans might use ‘two brains’ to address things in rather opposite ways, one looking for a best fit, the other for a best misfit ?
And clearly here misfit is in nothing like a poor fit !
I wonder if the misfit-detecting brain rather found a hit through data libraries for imagined monsters.
Do computer vision algorithms ever do that ? Do curated libraries exist for monsters ?
Material is plenty. I loved a very smart and expert book, ‘After man’, and of course there is plenty of science fiction, magic and carnival masks out there, in the internet and in history.
It would be only left for us to use a robust algorithm that compares fit and misfit library scores.
And perhaps more prosaically, when computer vision identifies dark elongated stones as seals, maybe mineralogy libraries would be helpful too.