Object Classification of US Quarter

Python
1

I have seen many similar topics but none quite like this request.

I’d like to create a model that will categorize a quarter by year. Either the quarter will be for 1995 or 1998. If the quarter is 1993 then the quarter would not be classified.

I’m guessing I would have to set some confidence level in order to do this.

My actual image dataset would be larger but here is an example of how it would look.

1995 - 1995 — ImgBB
1998 - 1998 — ImgBB

What are your thoughts on the best way to proceed here?

2

before you can classify your coins, you’ll have to deal with the rotation
(e.g make them all point “upright”).

maybe you can obtain a homography matrix from féature matching
to warp them into the same pose.

then you can crop out the number part, and apply some machine learning (SVM/HOG, a small CNN, whatever)

1 Like
3

Very good idea! Thanks!!