Shaadalam9/pedestrians-in-youtube

This repository contains code that extracts YouTube videos based on a mapping.csv file and performs object detection using YOLOv11. The primary objective of this work is to evaluate pedestrian behaviour in a cross-country or cross-cultural context using freely available YouTube videos.

39
/ 100
Emerging
No Package No Dependents
Maintenance 13 / 25
Adoption 4 / 25
Maturity 9 / 25
Community 13 / 25

How are scores calculated?

Stars

5

Forks

2

Language

HTML

License

MIT

Last pushed

Mar 19, 2026

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/Shaadalam9/pedestrians-in-youtube"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.