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Machine learning model counts thousands of yurts across Mongolia from satellite imagery

A data scientist used machine learning to count yurts across Mongolia after being inspired by a podcast about the Mongol Empire. After downloading and labeling over 10,000 yurts from Google Maps satellite imagery, they trained a model to identify and count the remaining structures. This project aimed to provide a quantitative understanding of contemporary Mongolian society beyond traditional economic indicators. AI

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IMPACT Demonstrates a novel application of machine learning for counting objects in satellite imagery, potentially inspiring similar uses in urban planning or environmental monitoring.

RANK_REASON The article describes a personal project using machine learning for a non-AI specific task, fitting the research category. [lever_c_demoted from research: ic=1 ai=0.4]

Read on HN — machine learning stories →

COVERAGE [1]

  1. HN — machine learning stories TIER_1 · furkansahin ·

    I counted all of the yurts in Mongolia using machine learning