Single-image and multi-image traffic sign classification
Dataset can be downloaded from here.
The German Traffic Sign Benchmark is a multi-class, single-image classification challenge held at the International Joint Conference on Neural Networks (IJCNN) 2011. We cordially invite researchers from relevant fields to participate: The competition is designed to allow for participation without special domain knowledge. Our benchmark has the following properties:
- Single-image, multi-class classification problem
- 43 classes
- More than 50,000 images in total
- Large, lifelike database
- Clone the repository and change the directory
git clone git@github.com:archihalder/heavy-driver.git
cd heavy-driver- Create a virtual environment
pip install virtualenv
virtualenv heavy_driver_env
source heavy_driver_env/bin/activate- Install the required libraries
pip install -r requirements.txt- Run the streamlit app
streamlit run app.py