Well it’s not really a small set. I’ll explain:
The goal is to take a camera shot of a real stamp and find a correct lookup in a database that consists of 350k+ unique stamp images.
Most of the results are pretty accurate and good, it could be better though, that’s why I’m looking to further train the model.
For a lot of stamps I have real camera photos, 10-20 or more which I could compile but:
With the metric learning I’m running into the problem that a label is expected and as I technically have over 350k labels I don’t know how to deal with that. In practice, I think metric learning is the right solution but I’m a little stuck right now.