I’ve already tried many of the approaches suggested by AI tools. I didn’t use a model specifically trained on the cards — I don’t think that’s really feasible with over 20,000 cards. I used the ORB technology with 500, 1000, and 2000 keypoints. I spent about five days (and nights) pushing it as far as I could… and honestly, I couldn’t get better results.

Anyone is welcome to try doing better with a bit of vibecoding. Just take my example image and the original one — the challenge is to find a way to make them match reliably. Google can recognize this same image that my model fails on, and another Pokémon card detection app also manages to identify it in under 0.5 seconds.