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A 2026 dataset from HeiGIT (Heidelberg Institute for Geoinformation Technology) provides AI-derived road surface classifications for Australia. It covers approximately 1.83 million kilometers of roads from OpenStreetMap, distinguishing paved and unpaved surfaces using a hybrid deep learning approach. The data is augmented with predictions from Mapillary imagery and urban classification layers.
License is ODbL-1.0, which may have share-alike requirements. Data is provided in GEOJSON and GEOPACKAGE formats.