This is a simple web application that uses YOLOv8 to detect objects in images and videos. The application is built using Streamlit and Ultralytics. The model is trained on the Traffic and Road Dataset.
- Clone the repository
git clone
- Create a virtual environment
conda create -n <env_name> python=3.9 -y
- Go to the virtual environment
conda activate <env_name>
- Install requirements to the virtual environment
pip install -r requirements.txt
- Run the app
streamlit run main.py