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A 2026 dataset from the Heidelberg Institute for Geoinformation Technology (HeiGIT) provides detailed road surface information for Saint Lucia. It classifies approximately 2 km of roads from OpenStreetMap as paved or unpaved using a hybrid deep learning model, and includes AI-derived estimates for paved (0.7 km) and unpaved (0.4 km) lengths. The data is augmented with urban classification layers and supports transportation and GIS applications.
License is ODbL-1.0, which may have specific attribution and share-alike requirements.