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A 2026 dataset from the Heidelberg Institute for Geoinformation Technology (HeiGIT) provides AI-derived road surface classifications for Mauritius. It distinguishes paved and unpaved roads, covering approximately 13.7 thousand kilometers of OpenStreetMap (OSM) data, with 29.2% paved and 4.5% unpaved. The data is augmented with deep learning predictions from Mapillary imagery and urban layers from GHSU and AFRICAPOLIS.
License is ODbL-1.0, which has specific share-alike requirements. Data is provided in GEOJSON and GEOPACKAGE formats.