In this project, we use deep neural networks and convolutional neural networks to classify traffic signs. A model has been trained and validated so it can classify traffic sign images using the German Traffic Sign Dataset. After the model is trained, it is tested on traffic sign images found on the internet.
The project contains three files:
- The code is present in the Ipython notebook.
- The notebook exported in html format.
- The writeup contains a detailed information on the project.
The project has been developed on Windows 10 machine with Python 3.8.8. Download Python and follow the instructions ahead for the installation.
Install dependencies
pip install -r requirements.txtThe dataset has been provided by Udacity. It is the German Traffic Signs Dataset resized the to 32x32. It contains a training, validation and test set.
The project has been written in a Jupyter notebook. Run the Jupyter notebook environment and run the notebook Traffic_Sign_Classifier.ipynb
To run Jupyter notebook
jupyter notebook