It's very feasible, but it would require a ton of pictures of varying quality to imitate the kind of imagery the system is supposed to receive from end-users. Not studio-quality DSLR shots. It's something you could crowdsource if you find trappers or buyers interested in participating. Lots of annotation work, too. You'll also need experts to help you evaluate and fine-tune the results of the training.
There’s a bunch of fur grading info on the web, but it’s hard to find quality stuff. Books are out there, the best one being Wild Furbearer Management and Conservation in North America. It’s got everything you need to start, but it’s not cheap. I’ve got a couple and one will be at the auction after the Wolfers Summit banquet ID this August.
Interesting idea, it'd get real interesting if you get a fur grader involved. It’ll be a steep climb with some big road blocks to navigate though.
That book is good for learning stuff yourself, but it's not the kind if data you feed to LLM models. Basically, you'll need lots of different pictures of furs with standardized descriptions of what's in each picture (essentially, grading information), and then several times as many pictures that AI can practice on.
AI stuff is crap,pictures voices news stories-all crap compared to when actual humans do it.
AI is just a useful tool. A lot of people use it to create AI slop crap, but people crave crap, so it's pretty useful for them.
AI is actually quite convenient for bulk visual evaluation, and can make tedious and boring tasks much faster and easier, plus well-trained models develop an analog of a "hunch" and can spot anomalies or other notable things better and more reliably than trained humans (especially humans tired by monotonous work). One simply needs to keep in mind the limitations of its applications.