This repository contains a multi-class classification Convolutional Neural Network (CNN) model for recognizing and classifying rock, paper, and scissors hand gestures. The current accuracy of the model is 83.1%.

The dataset used for training and testing the CNN model can be obtained from here. It consists of images of hand gestures representing rock, paper, and scissors.

To use this model, you can access the Jupyter Notebook file in the following link:

Link to colab

Click on the link above to open the notebook in Google Colab, where you can run the code, train the model, and make predictions. Feel free to explore and experiment with different settings, hyperparameters, and techniques to enhance the model's performance.

I welcome any feedback or suggestions for improving the model. If you have any ideas, questions, or concerns, please don't hesitate to email me. Your insights and contributions are highly appreciated.

Nicholas Kann / @butter-my-toast