https://github.com/yehiashaarawy/image-classification-of-rock-paper-scissors-using-convolutional-neural-network

CNN model to classify hand gesture images of rock, paper, and scissors with the help of Tensorflow and Keras packages.
https://github.com/yehiashaarawy/image-classification-of-rock-paper-scissors-using-convolutional-neural-network

cnn-classification keras python rock-paper-scissors tensorflow

Last synced: 26 days ago
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CNN model to classify hand gesture images of rock, paper, and scissors with the help of Tensorflow and Keras packages.

• Host: GitHub
• URL: https://github.com/yehiashaarawy/image-classification-of-rock-paper-scissors-using-convolutional-neural-network
• Owner: YehiaShaarawy
• Created: 2024-06-08T13:13:37.000Z (7 months ago)
• Default Branch: master
• Last Pushed: 2024-06-21T19:24:22.000Z (7 months ago)
• Last Synced: 2024-11-15T23:23:37.910Z (about 2 months ago)
• Topics: cnn-classification, keras, python, rock-paper-scissors, tensorflow
• Language: Jupyter Notebook
• Homepage:
• Size: 99.6 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Image Classification of Rock-Paper-Scissors using Convolutional Neural Network

## Dataset

Dataset used : https://www.kaggle.com/datasets/drgfreeman/rockpaperscissors?select=README_rpc-cv-images.txt

The dataset contains a total of 2188 images with 300 x 200 pixels, that

correspond to the hand gestures of the Rock-Paper-Scissors game: ‘Rock’ (726

images), ‘Paper’ (710 images), and ‘Scissors’ (752 images). Here are few images

taken from the dataset:







## Evaluation Metrics





The result above shows that the accuracy is increasing steadily while the loss is also reducing, for both train and validation dataset.



Next we evaluate the validation data and we got 97% accuracy, which is pretty high. We can test it by uploading new images and let the model predicts whether it is a paper, rock, or scissors gesture.