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aialliance/so2sat

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Hugging Face2025-11-18 更新2026-01-03 收录
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--- license: cc-by-4.0 --- # GeoBench-2 Dataset License Attribution **Dataset Name:** m-So2Sat **Original Dataset Name:** So2Sat LCZ42 **Original Source:** https://mediatum.ub.tum.de/1483140 **Related Publication(s):** https://doi.org/10.1109/MGRS.2020.2964708 --- ## Licensing - **Annotation License:** CC BY 4.0 (as declared in the TensorFlow Datasets catalog) - **Image License:** Copernicus Open Access (Sentinel-1 / Sentinel-2 imagery) - **Declared By Original Provider:** Datasets page for So2Sat LCZ42 (license: http://creativecommons.org/licenses/by/4.0) **Redistribution Status in GeoBench-2** This dataset is redistributed under the **same license terms** as declared by the original providers. ServiceNow Research, IBM Research, TUM, and AI Alliance do not claim ownership or grant new rights beyond those already specified. --- ## Attribution Requirements When using this dataset (directly or through GeoBench-2), please cite the original dataset creators and reference both the dataset page and publication: > Zhu, Xiao Xiang; Hu, Jingliang; Qiu, Chunping; Shi, Yilei; Kang, Jian; Mou, Lichao; Bagheri, Hossein; Häberle, Matthias; Hua, Yuansheng; Huang, Rong; Hughes, Lloyd; Li, Hao; Sun, Yao; Zhang, Guicheng; Han, Shiyao; Schmitt, Michael; Wang, Yuanyuan. “So2Sat LCZ42: A Benchmark Data Set for the Classification of Global Local Climate Zones.” *IEEE Geoscience and Remote Sensing Magazine*, Vol. 8, No. 3, 2020. https://doi.org/10.1109/MGRS.2020.2964708 > > Dataset page: https://mediatum.ub.tum.de/1483140 --- ## License Disclaimer & Takedown Policy GEO-Bench-2 redistributes transformed versions of publicly available datasets for research and benchmarking purposes. Each dataset included here is redistributed under the same license terms designated by its original licensor. No New Rights Created: ServiceNow Research, IBM Research, TUM, and AI Alliance do not claim ownership over these datasets and do not grant any new rights beyond those already specified by the original licensors. Attribution: All credit remains with the original dataset creators and providers. Each dataset is accompanied by license and attribution information pointing to the original source. Disclaimer of Responsibility: The consortium partners act only as redistributors. We do not independently verify the accuracy of the license terms supplied by original dataset providers and disclaim liability for any errors, omissions, or misattributions in those designations. Takedown Procedure: If you are a rights holder and believe that a dataset has been misattributed, incorrectly licensed, or should not be redistributed in this form, please contact Paolo Fraccaro (paolo.fraccaro@ibm.com) and Alexandre Lacoste (alexandre.lacoste@servicenow.com). We will promptly review and, if necessary, remove or modify access to the dataset. By accessing or using GEO-Bench-2, you agree to comply with the original dataset licenses and acknowledge that the responsibility for verifying appropriate use lies with the end-user.

--- 许可证:CC BY 4.0 --- # GeoBench-2 数据集许可与归属声明 **数据集名称:** m-So2Sat **原始数据集名称:** So2Sat LCZ42 **原始来源:** https://mediatum.ub.tum.de/1483140 **相关文献:** https://doi.org/10.1109/MGRS.2020.2964708 --- ## 许可条款 - **标注许可证:** CC BY 4.0(已在TensorFlow数据集(TensorFlow Datasets)目录中声明) - **影像许可证:** 哥白尼开放获取计划(Copernicus Open Access),使用哨兵1号(Sentinel-1)/哨兵2号(Sentinel-2)遥感影像 - **原始提供者声明:** So2Sat LCZ42数据集页面(许可证链接:http://creativecommons.org/licenses/by/4.0) **GeoBench-2中的再分发状态** 本数据集按照原始提供者声明的**相同许可条款**进行再分发。 ServiceNow研究院、IBM研究院、慕尼黑工业大学(TUM)及AI Alliance均不主张数据集所有权,亦不超出原许可条款授予额外权利。 --- ## 署名要求 若直接使用本数据集或通过GeoBench-2使用本数据集,请引用原始数据集创作者,并同时引用数据集页面与相关文献: > Zhu, Xiao Xiang; Hu, Jingliang; Qiu, Chunping; Shi, Yilei; Kang, Jian; Mou, Lichao; Bagheri, Hossein; Häberle, Matthias; Hua, Yuansheng; Huang, Rong; Hughes, Lloyd; Li, Hao; Sun, Yao; Zhang, Guicheng; Han, Shiyao; Schmitt, Michael; Wang, Yuanyuan. "So2Sat LCZ42:面向全球局地气候区分类的基准数据集。" *IEEE地球科学与遥感杂志(IEEE Geoscience and Remote Sensing Magazine)*,第8卷第3期,2020年。https://doi.org/10.1109/MGRS.2020.2964708 > > 数据集页面:https://mediatum.ub.tum.de/1483140 --- ## 许可声明与下架政策 GEO-Bench-2 对公开可用的数据集进行格式转换后再分发,仅用于科研与基准测试目的。本数据集集中的所有数据集均按照其原始授权方指定的相同许可条款进行再分发。 **未创设新权利:** ServiceNow研究院、IBM研究院、慕尼黑工业大学(TUM)及AI Alliance均不主张上述数据集的所有权,亦不超出原始授权方的规定授予任何额外权利。 **归属声明:** 所有荣誉均归属于原始数据集创作者与提供者。本数据集中的每个数据集均附带指向原始来源的许可与署名信息。 **责任免责声明:** 本联盟合作伙伴仅作为再分发方。我们不会独立验证原始数据集提供者提供的许可条款的准确性,且不对这些条款中存在的错误、遗漏或错误归属承担责任。 **下架流程:** 若您是权利持有人,且认为某一数据集存在归属错误、许可不当或不应以当前形式再分发,请联系Paolo Fraccaro(paolo.fraccaro@ibm.com)与Alexandre Lacoste(alexandre.lacoste@servicenow.com)。我们将及时审核,必要时将移除或修改该数据集的访问权限。 访问或使用GEO-Bench-2即表示您同意遵守原始数据集的许可条款,并确认验证数据集合理使用的责任由终端用户自行承担。

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