Streamlit app demonstrating an image browser for the Udacity self-driving-car dataset with realtime object detection using YOLO.

Streamlit Demo: The Udacity Self-driving Car Image Browser

This project demonstrates the Udacity self-driving-car dataset and YOLO object detection into an interactive Streamlit app.

The complete demo is implemented in less than 300 lines of Python and illustrates all the major building blocks of Streamlit.

How to run this demo

pip install --upgrade streamlit opencv-python
streamlit run https://raw.githubusercontent.com/streamlit/demo-self-driving/master/app.py

Questions? Comments?

Please ask in the Streamlit community.