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A March 2026 dataset from the Heidelberg Institute for Geoinformation Technology (HeiGIT) provides road surface classifications for Mayotte. It combines OpenStreetMap data with deep learning predictions from Mapillary imagery and satellite data to distinguish paved from unpaved roads. The dataset is intended for transportation planning, infrastructure analysis, and GIS applications.
License is ODbL-1.0, which has specific attribution and share-alike requirements.