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README.md
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@@ -98,8 +98,18 @@ The ForestPersons Dataset is provided "as is" without any warranty of any kind,
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The authors and affiliated institutions shall not be held liable for any damages arising from the use of the dataset.
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## Acknowledgments
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This work was supported by the Institute of Information &
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Project No. 2022-0-00021, Development of Core Technologies for Autonomous Searching Drones.
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The authors and affiliated institutions shall not be held liable for any damages arising from the use of the dataset.
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## Citation Information
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If you are using this dataset, please cite
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```bibtex
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@misc{kim2025forestpersons,
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title = {ForestPersons: A Large-Scale Dataset for Under-Canopy Missing Person Detection},
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author = {Deokyun Kim and Jeongjun Lee and Jungwon Choi and Jonggeon Park and Giyoung Lee and Yookyung Kim and Myungseok Ki and Juho Lee and Jihun Cha},
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year = {2025},
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note = {Manuscript in preparation}
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}
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```
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Deokyun Kim and Jeongjun Lee and Jungwon Choi and Jonggeon Park contributed equally to this work.
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## Acknowledgments
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This work was supported by the Institute of Information & communications Technology Planning Evaluation (IITP) grant funded by the Korea government (MSIT) (No. RS-2022-II220021, Development of Core Technologies for Autonomous Searching Drones)
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