An end-to-end image classifier for the German Traffic Signs dataset using Tensorflow and Convolutional Neural Networks. The link to download the dataset is here: http://benchmark.ini.rub.de/
This project requires Python 3.5 and the following Python libraries installed:
Run this command at the terminal prompt to install OpenCV. Useful for image processing:
conda install -c https://conda.anaconda.org/menpo opencv3
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Download the dataset. You can download the pickled dataset in which we've already resized the images to 32x32 here.
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Clone the project and start the notebook.
git clone https://github.com/udacity/traffic-signs
cd traffic-signs
jupyter notebook Traffic_Signs_Recognition.ipynb
- Follow the instructions in the
Traffic_Signs_Recognition.ipynb
notebook.