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Iraq road surface data distinguishes paved and unpaved roads using a hybrid deep learning approach on OpenStreetMap (OSM) and Mapillary imagery. Approximately 0.2839 million kilometers of roads are mapped, with AI-derived estimates for 9.1664% paved and 3.1261% unpaved. The dataset was produced by the Heidelberg Institute for Geoinformation Technology (HeiGIT) and last updated in March 2026.
License is ODbL-1.0, which may have share-alike requirements. Data is provided in GEOJSON and GEOPACKAGE formats, requiring GIS software for analysis.