streamlit/demo-self-driving

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1290 stars · 472 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Streamlit demo app that provides an interactive image browser for the Udacity self-driving-car dataset with realtime YOLO object detection, implemented in under 300 lines of Python. It serves as an official example illustrating Streamlit's major building blocks.

Use cases

• browse and explore the udacity self-driving car dataset images
• run realtime yolo object detection on images
• learn how to build a streamlit app
• demo computer vision models in an interactive web app
• example of image annotation visualization

When to choose

• you want a ready-made example of object detection in a Streamlit app
• you are learning Streamlit and want to see its building blocks in action
• you need a quick interactive browser for the Udacity self-driving dataset

When to avoid

• you need production-grade object detection pipelines
• you want a general-purpose image annotation or labeling tool
• you don't use Python or Streamlit

Facets

application · maturity stable

image-processing computer-vision data-visualization computer-vision autonomous-vehicles data-visualization machine-learning python cross-platform streamlit yolo object-detection udacity-dataset demo-app image-browser web-server

Member repositories

For agents

markdown · JSON · MCP: product_card(name="streamlit/demo-self-driving")