Card grading and identification Ai

[maniac_73]

Thanks Guys, I really am impressed with the quality of results versus some of the older models. As I keep fine tuning it I think it will even get better. Definitely will never be perfect but a fun little project for me as continue to explore AI.

[Goudey]

did you fine-tune 4o is that the base model with a knowledge base?

[G1911]

Having fun with this, I wanted to throw it another possible but difficult curveball. Based on my test yesterday I have no doubt it will recognize a 1954 Bowman Willie Mays I show it or something 'regular'.

I uploaded an uncut sheet (actually a series of panels put together to recreate the sheet) of T220 Silvers, and gave it no context at first. While wrong, I am again impressed. It correctly identified it is looking at a sheet, it jumped at the tape measure clue to piece together more information, and it correctly identified that these are T cards. It also knew that any tobacco sheet is a very rare item. While this piece is authentic, by recognizing it is unique or near unique the tool reported back with authenticity check information to validate, instead of assuming it is real, seeming to recognize its own limits. The grading instructions were also a little different, seeming to understand that these panels cannot just be submitted for encapsulation. It wrongly assigned T206, which I have noticed GPT does a lot with old cards - if it can't figure out a cigarette card it tends to just run with T206.


I then tried to help it, calling out that the cards picture boxers and have silver borders, so it's not T206. GPT then went completely off track and posted a ton of false information it made up about the 1951 Topps Ringside, just picking a boxing set at random. Hallucination. This is where I stop understanding the models at all, as there is nowhere it could search online to come up with these things - the claims are things it has invented.


The results I am getting are markedly better than when I just ask GPT the question without whatever pre-programmed information or context the OP gave this model he made. While not quite right, it is a difficult 'trick' and it understood a lot of my trick, and reshaped its format of response around the item.

[maniac_73]

Originally Posted by Goudey

did you fine-tune 4o is that the base model with a knowledge base?

Fine tuned the 4o with prompting. Its a huge leap over base. As you can see with G1911's experiments it still does suffer from the odd hallucination but its getting good

[Leon]

Originally Posted by maniac_73

Fine tuned the 4o with prompting. Its a huge leap over base. As you can see with G1911's experiments it still does suffer from the odd hallucination but its getting good

"Good" is relative. If perfected, is that a good thing?
.

[sports-cards-forever]

This is fascinating. I think it's the future

[Snowman]

I uploaded a few cards. It's not good at judging the centering for some reason.

[maniac_73]

Originally Posted by Snowman

I uploaded a few cards. It's not good at judging the centering for some reason.

You're right. Just added PSA centering standards for it to use as a guideline. Seeing if that fixes it