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Available on 1 platform
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HeiGIT produced this geospatial dataset in 2026 covering 21.4159 million km of German roads with surface classifications. It utilizes a hybrid deep learning approach to provide paved and unpaved labels for 1.3618 million km of roads that lack surface information in OpenStreetMap.
Licensed under ODC-ODbL; users should check DL_mean_timestamp to assess the age of the imagery used for specific predictions.