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South Sudan road network data from OpenStreetMap, enhanced with AI-derived surface classifications. The dataset covers approximately 0.1612 million kilometers of roads, distinguishing paved and unpaved surfaces using a hybrid deep learning approach based on Mapillary imagery. It was created by HeiGIT and last updated in March 2026.
License is ODbL-1.0, which has specific attribution and share-alike requirements.