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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.