Datasets › OpenStreetMap Multi-Sensor Scene Classification
OpenStreetMap Multi-Sensor Scene Classification
A high-resolution multi-sensor remote sensing scene classification dataset, appropriate for training and evaluating image classification models in the remote sensing domain.
The dataset consists of 8400 overhead scenes, each covered by Airbus Pléiades, Airbus SPOT, and USDA NAIP imagery. The scenes are classified into 12 OpenStreetMap categories:
- man_made=bridge
- man_made=breakwater
- building=farm
- power=substation
- leisure=stadium
- leisure=golf_course
- waterway=dam
- landuse=quarry
- landuse=farmland
- landuse=forest
- natural=water
- natural=bare_rock
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0)
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- OpenStreetMap Multi-Sensor Scene Classification
1 variant name, as the archive lists them.
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