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README.md
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pretty_name: Copernicus-Pretrain
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size_categories:
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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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*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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pretty_name: Copernicus-Pretrain
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size_categories:
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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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```
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