Easy⏱ time1 hr$ cost0
Rock-Paper-Scissors Vision
Use a webcam and a no-code model to recognise your hand and play rock-paper-scissors.
Start building ↓
Result first
The build
Step 01
Collect samples
Capture many images of each hand shape.
Step 02
Train the model
Let the tool learn the three classes.
Step 03
Export it
Get a model you can run in a page.
Step 04
Play
Show your hand and it calls the move.
Working Principle
The model learns the visual features of each hand shape from your examples, then classifies a live frame into rock, paper or scissors.
The science behind it
A closer look
It's image classification by example; more varied training images make it robust to lighting and angle.
Take it further
Variables to test
- 1 Add poor-lighting samples — more reliable?
- 2 Add a 'no hand' class — fewer false calls?
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