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Copy file name to clipboardExpand all lines: README.md
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@@ -109,6 +109,9 @@ As part of the [EU Copernicus program](https://en.wikipedia.org/wiki/Copernicus_
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*[MagicBathyNet](https://www.magicbathy.eu/magicbathynet.html) -> a new multimodal benchmark dataset made up of image patches of Sentinel-2, SPOT-6 and aerial imagery, bathymetry in raster format and seabed classes annotations
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*[AI2-S2-NAIP](https://huggingface.co/datasets/allenai/s2-naip) -> aligned NAIP, Sentinel-2, Sentinel-1, and Landsat images spanning the entire continental US
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*[MuS2: A Benchmark for Sentinel-2 Multi-Image Super-Resolution](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi%3A10.7910%2FDVN%2F1JMRAT)
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*[Sen4Map](https://datapub.fz-juelich.de/sen4map/) -> Sentinel-2 time series images, covering over 335,125 geo-tagged locations across the European Union. These geo-tagged locations are associated with detailed landcover and land-use information
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*[CloudSEN12Plus](https://huggingface.co/datasets/isp-uv-es/CloudSEN12Plus) -> the largest cloud detection dataset to date for Sentinel-2
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*[mayrajeo S2 ship detection](https://github.com/mayrajeo/ship-detection) -> labels for Detecting marine vessels from Sentinel-2 imagery with YOLOv8
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## Landsat
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Long running US program -> see [Wikipedia](https://en.wikipedia.org/wiki/Landsat_program)
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*[caltech-aerial-rgbt-dataset](https://github.com/aerorobotics/caltech-aerial-rgbt-dataset) -> synchronized RGB, thermal, GPS, and IMU data
*[UAV-HSI-Crop-Dataset](https://github.com/MrSuperNiu/UAV-HSI-Crop-Dataset) -> dataset for "HSI-TransUNet: A Transformer based semantic segmentation model for crop mapping from UAV hyperspectral imagery"
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*[UAVVaste](https://github.com/PUTvision/UAVVaste) -> COCO-like dataset and effective waste detection in aerial images
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