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README.md
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@@ -50,28 +50,15 @@ The data is structured identically to the SSL4EOS12 v1.1 dataset:
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</pre>
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</code>
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which is based on
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<code>
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<pre>
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@article{wang2022ssl4eo,
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title={{SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation}},
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author={Wang, Yi and Braham, Nassim Ait Ali and Xiong, Zhitong and Liu, Chenying and Albrecht, Conrad M and Zhu, Xiao Xiang},
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journal={arXiv preprint arXiv:2211.07044},
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year={2022}
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}
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</pre>
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</code>
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## Downstream tasks
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Currently, 11 downstream tasks are available
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- biomass\_mean\_\_regr: Biomass mean across all pixels, with labels retrieved from [GEDI](https://daac.ornl.gov/GEDI/guides/GEDI_L4A_AGB_Density_V2_1.html).
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- biomass\_std\_\_regr: Biomass standard deviation across pixels, same source as above.
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- clouds\_reg\_\_regr: Average cloud cover percentage across the four seasons. Labels retrieved from [CloudSen12](https://cloudsen12.github.io/). This task was not part of the Embed2Scale data challenge.
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- heatisland\_mean\_\_regr: Mean summertime surface temperature in larger cities across the northern hemisphere. Labels estimated from LandSat-8 thermal bands.
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- heatisland\_std\_\_regr: Summertime surface temperature standard deviation of the same locations as above.
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## Recreate 2025 CVPR EarthVision data challenge
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To recreate the challenge phases, the downstream task label files used in the competition have two additional columns, in addition to the `id` and `label` columns. The two boolean columns `cvpr_earthvision_phase_eval` and `cvpr_earthvision_phase_dev` indicates which samples were included in which phase.
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</pre>
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</code>
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## Downstream tasks
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Currently, 11 downstream tasks are available
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- biomass\_mean\_\_regr: Biomass mean across all pixels, with labels retrieved from [GEDI](https://daac.ornl.gov/GEDI/guides/GEDI_L4A_AGB_Density_V2_1.html).
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- biomass\_std\_\_regr: Biomass standard deviation across pixels, same source as above.
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- crops\_\_regr: Combined fraction of Soybean and Corn in image, with labels retrieved from [CDL](https://www.nass.usda.gov/Research_and_Science/Cropland/SARS1a.php).
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- landcover\_aggriculture\_regr: Fraction of agriculture in image, with the labels retrieved from the [Corine land cover dataset](https://land.copernicus.eu/en/map-viewer?product=130299ac96e54c30a12edd575eff80f7).
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- landcover\_forest\_\_regr: Fraction of forest in image, same source as above.
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- clouds\_reg\_\_regr: Average cloud cover percentage across the four seasons. Labels retrieved from [CloudSen12](https://cloudsen12.github.io/). This task was not part of the Embed2Scale data challenge.
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- heatisland\_mean\_\_regr: Mean summertime surface temperature in larger cities across the northern hemisphere. Labels estimated from LandSat-8 thermal bands.
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- heatisland\_std\_\_regr: Summertime surface temperature standard deviation of the same locations as above.
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## Recreate 2025 CVPR EarthVision data challenge
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To recreate the challenge phases, the downstream task label files used in the competition have two additional columns, in addition to the `id` and `label` columns. The two boolean columns `cvpr_earthvision_phase_eval` and `cvpr_earthvision_phase_dev` indicates which samples were included in which phase. Alternatively, use the commit [https://huggingface.co/datasets/embed2scale/SSL4EO-S12-downstream/tree/5c5539acd6f42e2e3547ec816fcf577e3f6800fa](https://huggingface.co/datasets/embed2scale/SSL4EO-S12-downstream/tree/5c5539acd6f42e2e3547ec816fcf577e3f6800fa) to download the dataset in the state used in the competition.
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labels/crops__regr.csv
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labels/landcover_agriculture__regr.csv
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labels/landcover_forest__regr.csv
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