radiantearth/model_ramp_baseline
Replicable AI for Microplanning (Ramp) Bootstrap Model
This project helps urban planners, aid organizations, or government agencies quickly identify and map buildings in satellite imagery for low-and-middle-income countries. You provide satellite image 'chips' (small sections of imagery), and it outputs precise outlines of building footprints. This allows in-country users to generate foundational mapping data for urban development, disaster response, and resource allocation.
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Use this if you need to automatically detect and delineate building footprints from satellite imagery in regions with limited existing mapping data.
Not ideal if you need to identify other features besides buildings or if your satellite imagery is not formatted as GeoTIFFs with specific band configurations.
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Jupyter Notebook
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Last pushed
Sep 25, 2023
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