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A 2026 dataset from the Heidelberg Institute for Geoinformation Technology (HeiGIT) provides AI-derived road surface classifications for Malawi. It covers approximately 221,600 kilometers of OpenStreetMap roads, classifying them as paved or unpaved using a hybrid deep learning model. The data is augmented with predictions from Mapillary imagery and urban layers from GHSU and AFRICAPOLIS.
License is ODbL-1.0, which may have share-alike requirements.