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Tas Kagit Makas
T
Tas Kagit Makas
Developed by Enverrr
An image classifier based on the PyTorch framework that accurately recognizes rock, paper, and scissor hand gestures
Downloads 28
Release Time : 11/15/2022
Model Overview
This model is a specialized image classifier for recognizing rock, paper, and scissor hand gestures, automatically generated by the HuggingPics tool with 100% accuracy
Model Features
High Accuracy
Achieves 100% accuracy in rock-paper-scissors classification tasks
Ease of Use
Can easily create similar image classifiers using the HuggingPics tool
Quick Deployment
Provides a Google Colab demo for quick testing and deployment
Model Capabilities
Image Classification
Gesture Recognition
Rock-Paper-Scissors Game Judgment
Use Cases
Gaming Applications
Rock-Paper-Scissors Game Referee
Automatically judges the player's hand gesture (rock, paper, or scissors)
Accuracy reaches 100%
Educational Demonstrations
Computer Vision Teaching Example
Serves as an introductory teaching case for image classification
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