I will say that 3 years ago when we tested all the major vendors' image recognition technology, they all failed spectacularly. And this wasn't some small project, we ran tens of thousands of our images through (out of over a million) and worked with several Phd students in our efforts.
A picture with a white college kid in the frame would get the output of "human". Put an African borrower in the frame and you got at best a failure to recognize a human, and at worst a reference to an animal.
I would hope the situation is much better now, but the bias (and just sheer inaccuracy) of the tools was readily apparent and we gave up on image recognition for the time being.
A picture with a white college kid in the frame would get the output of "human". Put an African borrower in the frame and you got at best a failure to recognize a human, and at worst a reference to an animal.
I would hope the situation is much better now, but the bias (and just sheer inaccuracy) of the tools was readily apparent and we gave up on image recognition for the time being.