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A 2026 dataset from the Heidelberg Institute for Geoinformation Technology (HeiGIT) provides AI-derived road surface classifications for the Central African Republic. It covers approximately 123,600 kilometers of roads from OpenStreetMap, distinguishing between paved and unpaved surfaces. The data is augmented with deep learning predictions from Mapillary imagery and urban layers from GHSU and AFRICAPOLIS.
License is ODbL-1.0, which has specific attribution and share-alike requirements. Data is in GEOJSON and GEOPACKAGE formats, requiring GIS software for analysis.