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Classify Different Traffic signs using Convolution Neural Networks for Self Driving Vehicles

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Traffic-Sign-Classifier-using-CNN-for-Self-Driving-Vehicles

Classify Different Traffic signs using Convolution Neural Networks for Self Driving Vehicles. Deep Learning Model is built using TensorFlow. Accuracy to about 75% with 5 Epochs. Number of Epochs shall be increased to increase the accuracy of the network.

Packages Used

Tensorflow
Sklearn
Matplotlib
Numpy
Pandas

Code

Check out the code section for the notebook file

Dataset

Get the dataset from this drive link traffic-signs-data

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change. Please make sure to update tests as appropriate.

License

Mohamed Imran P S

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Classify Different Traffic signs using Convolution Neural Networks for Self Driving Vehicles

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