sorna-fast/rock-paper-scissors-cnn

About A complete CNN image classification system that accurately identifies hand gestures for rock, paper, and scissors. Features custom neural architecture, data augmentation, and 99% validation accuracy.

17
/ 100
Experimental
No Package No Dependents
Maintenance 6 / 25
Adoption 2 / 25
Maturity 9 / 25
Community 0 / 25

How are scores calculated?

Stars

2

Forks

Language

Jupyter Notebook

License

Apache-2.0

Last pushed

Oct 18, 2025

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/sorna-fast/rock-paper-scissors-cnn"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.