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  pretty_name: Copernicus-Pretrain
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  size_categories:
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  - 10M<n<100M
 
 
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  ---
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  # Dataset Card for Copernicus-Pretrain
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  <!-- Provide a quick summary of the dataset. -->
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- A large-scale EO pretraining dataset with 18.7M aligned images covering all major Sentinel missions (S1,2,3,5P).
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  *Officially named **Copernicus-Pretrain**, also referred to as SSL4EO-S ("S" means Sentinel), as an extension of [SSL4EO-S12](https://github.com/zhu-xlab/SSL4EO-S12) to the whole Sentinel series.*
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@@ -72,5 +74,14 @@ The images are organized into ~310K regional grids (0.25°x0.25°, consistent wi
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  **BibTeX:**
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- [More Information Needed]
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-
 
 
 
 
 
 
 
 
 
 
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  pretty_name: Copernicus-Pretrain
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  size_categories:
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  - 10M<n<100M
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+ task_categories:
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+ - image-feature-extraction
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  ---
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  # Dataset Card for Copernicus-Pretrain
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  <!-- Provide a quick summary of the dataset. -->
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+ [Copernicus-Pretrain](https://github.com/zhu-xlab/Copernicus-FM/tree/main) is a large-scale EO pretraining dataset with 18.7M aligned images covering all major Sentinel missions (S1,2,3,5P).
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  *Officially named **Copernicus-Pretrain**, also referred to as SSL4EO-S ("S" means Sentinel), as an extension of [SSL4EO-S12](https://github.com/zhu-xlab/SSL4EO-S12) to the whole Sentinel series.*
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  **BibTeX:**
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+ ```
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+ @misc{wang2025unifiedcopernicusfoundationmodel,
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+ title={Towards a Unified Copernicus Foundation Model for Earth Vision},
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+ author={Yi Wang and Zhitong Xiong and Chenying Liu and Adam J. Stewart and Thomas Dujardin and Nikolaos Ioannis Bountos and Angelos Zavras and Franziska Gerken and Ioannis Papoutsis and Laura Leal-Taixé and Xiao Xiang Zhu},
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+ year={2025},
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+ eprint={2503.11849},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CV},
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+ url={https://arxiv.org/abs/2503.11849},
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+ }
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+ ```