waterdisappear/ATRNet-STAR

This is the official repository for the dataset “ATRNet-STAR: A Large Dataset and Benchmark Towards Remote Sensing Object Recognition in the Wild”. If you find our work is useful, please give us a like 🌟 and cite our paper in the BibTex format at the end.

Confirmation of Terms of Use: By accessing and using this dataset, you agree to comply with the following terms and conditions:

1. Research-Only Use: The dataset shall be used exclusively for research purposes. Commercial utilization of this data is strictly prohibited without written permission from the authors.
2. Commercial Applications: Any commercial use of the dataset, including but not limited to its incorporation into products or services for sale, requires explicit authorization from the authors.
3. Prohibition on Data Sharing: The dataset is for personal use only. Redistribution, sharing, or dissemination of the dataset in whole or in part to third parties is prohibited without prior consent from the authors.
4. Data Integrity: Users agree to maintain the integrity and confidentiality of the dataset and refrain from any activities that may compromise its security or confidentiality. Users shall not modify, alter, or manipulate the original experimental configurations in any manner that misrepresents the raw data or undermines its original integrity without explicit permission from the authors.
5. Proper Attribution: Users of the dataset must properly cite the authors' work in any publications, reports, or presentations derived from its use. Citations shall accurately acknowledge the source of the data and any relevant publications, institutions, or links associated with it.
6. Recognition of Contribution: Users must appropriately evaluate the authors' work and acknowledge their contributions to the creation and provision of the data when utilizing the dataset.
7. Feedback and Reporting: Users are encouraged to provide feedback to the authors regarding their experience with the dataset and to promptly report any issues or suggestions. Authors are encouraged to develop new experimental configurations and research questions based on the existing data, provided such new configurations are made publicly accessible and approved by the authors. Newly constructed datasets must adhere to Terms 1, 2, 5, 6, 7, 8, and 9 of this agreement.
8. Compliance with Applicable Laws: Users must comply with all applicable laws, regulations, and institutional policies, including but not limited to privacy and data protection legislation.
9. Disclaimer: The authors make no warranties or representations regarding the accuracy, completeness, or reliability of the dataset. The authors shall not be held liable for any damages or losses arising from the use of the dataset.

@misc{liu2025atrnet,
    title={{ATRNet-STAR}: A Large Dataset and Benchmark Towards Remote Sensing Object Recognition in the Wild}, 
    author={Yongxiang Liu and Weijie Li and Li Liu and Jie Zhou and Bowen Peng and Yafei Song and Xuying Xiong and Wei Yang and Tianpeng Liu and Zhen Liu and Xiang Li},
    year={2025},
    eprint={2501.13354},
    archivePrefix={arXiv},
    primaryClass={cs.CV},
    url={https://arxiv.org/abs/2501.13354}, 
}