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Road surface data for Gambia derived from OpenStreetMap (OSM) and augmented with deep learning predictions from Mapillary imagery. The dataset includes approximately 0.0282 million kilometers of mapped roads, with AI-derived estimates classifying 6.6068% as paved and 21.4047% as unpaved. It was created by HeiGIT and last updated in March 2026.
License is ODbL-1.0, which carries specific attribution and share-alike requirements.