Microsoft's 2026 Global ML Building Footprints
Read OriginalThis technical article examines Microsoft's latest 2026 release of its Global ML Building Footprints dataset, a machine learning-derived database of 1.4 billion building footprints from satellite imagery. It details the author's high-performance workstation setup, the process of installing and configuring DuckDB with extensions for data analysis, and the use of QGIS for map rendering to explore the dataset's structure and contents.
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