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README.md
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- [OpenStreetMap](https://www.openstreetmap.org): a GeoJSON containing buildings, roads, and 30 other categories. It uses pixel coordinates relative to the 512x512 NAIP image.
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- [WorldCover](https://worldcover2021.esa.int/): the 2021 land cover image at 10 m/pixel (64x64).
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For questions or feedback about AI2-S2-NAIP, please open an issue on Github at https://github.com/allenai/satlas.
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- [OpenStreetMap](https://www.openstreetmap.org): a GeoJSON containing buildings, roads, and 30 other categories. It uses pixel coordinates relative to the 512x512 NAIP image.
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- [WorldCover](https://worldcover2021.esa.int/): the 2021 land cover image at 10 m/pixel (64x64).
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AI2-S2-NAIP is applicable to several supervised and unsupervised tasks in remote sensing, including super-resolution (e.g. NAIP -> Sentinel-2), segmentation and detection (e.g. NAIP or Sentinel-2 -> OpenStreetMap or WorldCover), and multi-modal masked autoencoder pre-training.
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For questions or feedback about AI2-S2-NAIP, please open an issue on Github at https://github.com/allenai/satlas.
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