Qingyun/remote-sensing-sft-data

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The declared licence (cc-by-4.0) is classified as permissive.

Declared licence: cc-by-4.0, from the tagEvidence: README.md at 6ef2c9f
Licence files: No licence file at the top level of the repositoryEvidence: file list at 6ef2c9f
Declared sources: None listed in the card metadata
Access gated on Hugging Face: Yes

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Citation text from the card

@ARTICLE{li2026rscovlm,
  author={Li, Qingyun and Ma, Shuran and Luo, Junwei and Yu, Yi and Zhou, Yue and Wang, Fengxiang and Lu, Xudong and Wang, Xiaoxing and He, Xin and Chen, Yushi and Yang, Xue},
  title={Co-Training Vision-Language Models for Remote Sensing Multi-Task Learning},
  journal={Remote Sensing},
  volume={18},
  year={2026},
  number={2},
  article-number={222},
  url={https://www.mdpi.com/2072-4292/18/2/222},
  issn={2072-4292},
  doi={10.3390/rs18020222}
}

@INPROCEEDINGS{11242725,
  author={Li, Qingyun and He, Xin and Shu, Xinya and Yu, Yi and Chen, Dong and Chen, Yushi and Yang, Xue},
  booktitle={IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium}, 
  title={A Simple Aerial Detection Baseline of Multimodal Language Models}, 
  year={2025},
  pages={6833-6837},
  doi={10.1109/IGARSS55030.2025.11242725}
}

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dataset_licence({ "id": "Qingyun/remote-sensing-sft-data" })
signal: "permissive"
stated_licence: "cc-by-4.0"
sources: 0