A Convolutional Neural Net which classifies an input traffic scenario into 4 classes - {Traffic Lights, Stop Sign, Pedestrian Sign, Speed Limit signs}
The dataset used in this project is sourced from {https://makeml.app/datasets/road-signs}, which is then converted to a suitable format to be used by our model.
Create a dataset folder in your local repositories and its contents as 4 directories - Pedestrian, Speedlimit, Stop, Traffic_Light
Once this is done you can evaluate the script corresponding to this dataset conversion in the model.pynb
The dataset in the suitable format already exists in the dataset folder in this repository, so you can move forwards executing the respective code blocks