The German Traffic Sign Benchmark is a multi-class, single-image classification challenge held at the International Joint Conference on Neural Networks (IJCNN) 2011. The benchmark has the following properties:
- Single-image, multi-class classification problem
- More than 40 classes
- More than 50,000 images in total
- Large, lifelike database
1. Install Dependencies:
Before running the model, make sure to download and install all the necessary dependencies listed in the requirements.txt file.
2. File Structure:
Ensure that the following files are in the same directory before running the model:
- best_model.pth (Pre-trained model weights)
- test.py (Script for running the model)
3. Run the Model:
Once the above steps are complete, you can execute the test.py script to test the model:
python test.py