I wonder if color profiles will be important to images used for AI. Right now, as far as I can tell, people generally ignore details like that but I wonder if someday people are going to say, "oh wait, we've been completely ignoring color profiles. We could have been using that" or "we didn't realize how ignoring that messed things up"
I'm in the computer vision space and have looked into the effect of color spaces and encodings.
People had basically exactly the epiphany you described. For example, there are several color models which try to be more lighting-invariant or (racially) color blind (this is a very similar problem, humans are all more or less "orange" hue-wise due to melanin's spectrum). TSL is one such space, there are others.
Quick question, from the context and how the wikipedia article was written I assumed TSL was fairly new, however looking at the dates of the published papers it all seems be late 90's early 2000's. Is this still in use somehow? I've never heard of it before, even though I've dabbled a bit in image processing from time to time in my line of work.
