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microsoft/GlobalMLBuildingFootprints ★ 1951 276 DATA_RESEARCH

This repository provides access to Microsoft's global building footprint dataset (1.4B buildings) derived from Bing Maps satellite imagery. The core deliverable is a massive, publicly hosted dataset of building polygons in GeoJSONL format, with periodic updates. The repository itself contains only documentation, a Jupyter notebook demonstrating data download and spatial filtering, and a few utility scripts for converting compressed GeoJSONL files to GIS-friendly formats. There is no transformation pipeline or model training code present; the actual building extraction is done externally. The code is simple, well-documented, and parameterized for reuse, but lacks dependency management and environment definitions. The primary value is the dataset itself, with the scripts serving as examples for accessing and processing the data.

RATING: 7.0/10 REPRO: 5.0/10 MAINT: active DRIFT: low
▸ 3 reusable components found
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