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README.md
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@@ -23,22 +23,26 @@ The dev set comprises 5149 datacubes of Sentinel-1 and Sentinel-2 data, as visua
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<img src="https://raw.githubusercontent.com/DLR-MF-DAS/embed2scale-challenge-supplement/refs/heads/main/figs/Figure_20250219_Albrecht_Eval-AI-Challenge.svg" alt="Technical overview of challenge data and evaluation scheme." style="width: 100%; height: auto;">
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The data is structured identically to the SSL4EOS12 v1.1 dataset:
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<
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@article{blumenstiel2025ssl4eos12,
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title={{SSL4EOS12 v1.1 - A Multimodal, Multiseasonal Dataset for Pretraining}},
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author={Blumenstiel, Benedikt and Braham, Nassim Ait Ali and Albrecht, Conrad M and Maurogiovanni, Stefano and Fraccaro, Paolo},
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journal={arXiv preprint arXiv:2503.00168},
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year={2025}
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}
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</
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which is based on
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<
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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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</
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<img src="https://raw.githubusercontent.com/DLR-MF-DAS/embed2scale-challenge-supplement/refs/heads/main/figs/Figure_20250219_Albrecht_Eval-AI-Challenge.svg" alt="Technical overview of challenge data and evaluation scheme." style="width: 100%; height: auto;">
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The data is structured identically to the SSL4EOS12 v1.1 dataset:
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<code>
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<pre>
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@article{blumenstiel2025ssl4eos12,
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title={{SSL4EOS12 v1.1 - A Multimodal, Multiseasonal Dataset for Pretraining}},
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author={Blumenstiel, Benedikt and Braham, Nassim Ait Ali and Albrecht, Conrad M and Maurogiovanni, Stefano and Fraccaro, Paolo},
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journal={arXiv preprint arXiv:2503.00168},
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year={2025}
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}
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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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