This project involves using deep learning models to classify traffic signs based on images. We use a Convolutional Neural Network (CNN), a VGG16 architecture, and a ResNet architecture to recognize and categorize various traffic signs.
The link to our research report has been included as a google drive link that can be found on the side bar.
To run the jupyter notebook, you will have to set up a python kernel and run the following command in your terminal to install required packages:
pip install -r requirements.txt
Then click on 'Run All'. Running the whole notebook may take some time, which could be about an hour or more.