June 12, 2020

105 words 1 min read



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

repo name streamlit/demo-self-driving
repo link https://github.com/streamlit/demo-self-driving
language Python
size (curr.) 14193 kB
stars (curr.) 485
created 2019-09-06
license Apache License 2.0

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.

Making-of Animation

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.

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