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A neural network model was developed to classify hand gestures between the numbers one to five based on the number of fingers that are being held up. This repository contains code to collect training data, train the model, and test it using your camera

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PrathamG/gesture_detection

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Gesture Detection

A simple neural network model was developed to classify hand gestures between the numbers one to five based on the number of fingers that are being held up. You can use this repository to train your own gesture classification model:

  • gesture_data_collection.ipynb explains explains how to collect and save the training data for the gestures.
  • gesture_train_model.ipynb explains how to use the data to train the model and test its performance using your webcam.

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A neural network model was developed to classify hand gestures between the numbers one to five based on the number of fingers that are being held up. This repository contains code to collect training data, train the model, and test it using your camera

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