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A 2026 dataset from the Heidelberg Institute for Geoinformation Technology (HeiGIT) provides AI-derived road surface classifications for Taiwan (Province of China). It covers approximately 0.2292 million kilometers of OpenStreetMap roads, distinguishing paved and unpaved surfaces using a hybrid deep learning approach on Mapillary imagery. The data is augmented with urban classification layers and is intended for transportation and infrastructure analysis.
License is ODbL-1.0, which carries specific attribution and share-alike requirements.