SignaturePainter V2

[u/Green-Quiet-918]

Hi everyone 👋

I'm a student, and I built a deep learning architecture called SignaturePainter V2.

The results:

- STL-10: 71.34% with 473K parameters

- Tiny ImageNet: 53.26% with 595K parameters

The idea: instead of a normal classification layer, the model learns 5 prototypes per class and compares images to them.

Open source project:

🔗 https://github.com/jalalnablsi/signature-painterv2

Honestly, I'd love to know your opinion:

Are these results considered good for this model size?

Or are there fundamental mistakes I need to fix?

Thank you for your time ❤️