Traffic Sign Recognition

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Project Information

• The end goal of the project is to classify different traffic signs correctly.
• The dataset used is the project is GTSRB - German Traffic Sign Recognition Benchmark
• There are 43 different classes present in the dataset.

Basic Flow

• Before running the .ipynb file, upload the signnames.csv and your kaggle.json credential files either directly to the environment or pull it using google colab.
• Model predictions can be found in the Prediction.ipynb notebook or in the example_output directory.
• The trained model is saved in the saved_model directory.

Credits:

• This project is based on the tutoral blog written by Dr. Adrian Rosebrok -> Traffic Sign Classification with Keras and Deep Learning