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Project: Build a Traffic Sign Recognition Program

Udacity - Self-Driving Car NanoDegree

This project is an implementation of Deep Neural Networks and Image processing to Classify Traffic Signs in the German Traffic Sign Dataset.

Dependencies

Dataset

  1. Download the dataset.
  2. This is a pickled dataset which has already resized the images to 32x32. Dataset

Steps

  1. Clone the project and start the notebook.
git clone https://github.com/Mohit-Ak/CarND-Traffic-Sign-Classifier.git
cd CarND-Traffic-Sign-Classifier
jupyter notebook Traffic_Sign_Classifier.ipynb
  1. Follow the instructions in the Traffic_Signs_Recognition.ipynb notebook.

FINAL ACCURACY

Dataset Accuracy
Validation 94.2%
Test 93.1%

AUTHOR

Mohit Arvind Khakharia