Pedestrian Planet: What YouTube Driving from 233 Countries and Territories Teaches Us About the World
Figure 1: The 233 countries and territories with dashcam footage in CROWD dataset [2].The colouration is based on the logarithm of the total recorded time per country or territory, calculated as log (1 + time in seconds), to reduce the skew from outliers such as the United States (with 707.76 hours available).The black dots show the 2,495 cities in the dataset.The labels under images show the corresponding YouTube video ID.The frame on the bottom left shows an example of object detection using YOLOv11x with identified objects such as pedestrians, vehicles, and traffic signs; in this image, the labels 'id' refer to the unique ID of the detected object with the type mentioned later and end with the confidence of detection of the object.
Authors
- Marieke Martens (ORCID: https://orcid.org/0000-0002-1661-7019)
- Pavlo Bazilinskyy (ORCID: https://orcid.org/0000-0001-9565-8240)
- Md Shadab Alam (ORCID: https://orcid.org/0000-0001-9184-9963)
Institutions
- Design Academy Eindhoven (NL)
- Eindhoven University of Technology (NL)
Publication Details
- Published
- 2025-09-21
- DOI
- https://doi.org/10.1145/3744333.3747827
- Citations
- 2
- Primary Topic
- Evacuation and Crowd Dynamics
- Type
- article
- Field-Weighted Citation Impact
- 2.29