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A 2026 dataset from the Heidelberg Institute for Geoinformation Technology (HeiGIT) provides road surface classifications for Tuvalu. It combines OpenStreetMap data with deep learning predictions from Mapillary imagery to label roads as paved or unpaved. The dataset is intended for transportation planning, infrastructure analysis, and climate emissions assessment.
License is ODbL-1.0, which requires attribution and share-alike for derivative databases.