I counted all of the yurts in Mongolia using machine learning
a year ago
- #Mongolia
- #Machine Learning
- #Urbanization
- The Fall of Civilizations podcast released a 6¾-hour episode on the Mongol Empire, sparking interest in contemporary Mongolian society.
- Mongolia has rapidly reduced poverty in the 21st century, with high economic growth and a healthy fertility rate, but struggles with corruption and governance issues.
- Google Maps exploration revealed extensive yurt settlements (ger districts) in Ulaanbaatar, prompting a project to count yurts using machine learning.
- A YOLO-based machine learning model was trained on manually labeled satellite imagery to detect yurts, with over 10,000 yurts annotated for training.
- The project scaled up using Docker Swarm and rented GPUs, processing millions of tiles to count 172,689 yurts across Mongolia.
- Yurts in urban areas reflect Mongolia's transition from a nomadic herder society to an urbanized industrial one, with ger districts persisting due to housing shortages.
- Government efforts to develop ger districts, like the 2002 land privatization law and the Ulaanbaatar 2020 Master Plan, have seen slow progress.
- The article raises further questions about urbanization, industrialization, and development challenges in Mongolia.