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LICENSE

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+ForestPersons Dataset License
+=============================
+
+Copyright (c) 2025 Electronics and Telecommunications Research Institute (ETRI)
+
+This dataset, titled "ForestPersons Dataset", is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0).
+
+Under this license, you are free to:
+- Share — copy and redistribute the material in any medium or format
+- Adapt — remix, transform, and build upon the material
+
+Under the following terms:
+- Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made.
+- NonCommercial — You may not use the material for commercial purposes.
+- ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
+
+For the full license text, see:
+https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode
+
+---
+
+Additional Terms Regarding Trained Models
+-----------------------------------------
+
+Any AI models, algorithms, or systems trained, fine-tuned, or developed using the ForestPersons Dataset are strictly limited to non-commercial use.
+
+---
+
+Disclaimer
+----------
+
+The ForestPersons Dataset is provided "as is" without any warranty of any kind, either express or implied, including but not limited to warranties of merchantability, fitness for a particular purpose, and non-infringement.
+
+The authors and affiliated institutions shall not be held liable for any damages arising from the use of the dataset.
+
+
+---
+
+Contact
+----------
+
+If you have questions regarding the dataset or its usage, please contact:
+
+Email: [email protected]
+

README.md

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+# ForestPersons Dataset
+
+## Dataset Summary
+
+ForestPersons is a large-scale dataset designed for missing person detection in forested environments under search-and-rescue scenarios. The dataset simulates realistic field conditions with varied poses (standing, sitting, lying) and visibility levels (20, 40, 70, 100). Images were captured using RGB sensors at ground and low-altitude perspectives.
+
+## Supported Tasks and Leaderboards
+
+- Object Detection
+- Search and Rescue Benchmarking
+- Robust Detection under Dense Canopy Conditions
+
+## Languages
+
+- Visual data only (no textual data)
+
+## Dataset Structure
+
+### Data Fields
+
+- **image**: RGB image (Electro-Optical modality)
+- **annotations**: COCO-style bounding boxes with the following attributes:
+  - Bounding box coordinates
+  - Category: `person`
+  - Visibility ratio (20, 40, 70, 100)
+  - Pose (standing, sitting, lying)
+
+### Data Splits
+
+| Split        | # Images | # Annotations |
+|--------------|----------|---------------|
+| Train        | 67,686   | 145,816       |
+| Validation   | 18,243   | 37,395        |
+| Test         | 10,553   | 20,867        |
+
+Total images: 96,482
+
+## Dataset Creation
+
+### Collection Process
+
+Data was collected during controlled simulations of missing persons in forested areas, using human subjects posing realistically. All images were taken from heights of 1.5m to 2.0m, mimicking UAV perspectives, and were captured with:
+- GoPro HERO9 Black
+- Sony A57 with 24–70mm lens
+- See3CAM industrial camera
+
+Tripods were employed when drone use was impractical for safety reasons.
+
+### Annotation Process
+
+Annotations were manually created using [COCO Annotator](https://github.com/jsbroks/coco-annotator) by trained annotators.
+
+## Usage Example
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("etri/forest-persons")
+```
+
+## License
+
+The ForestPersons Dataset is licensed under the [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0)](https://creativecommons.org/licenses/by-nc-sa/4.0/).
+
+Under this license, you may use, share, and adapt the dataset for non-commercial purposes, provided you give appropriate credit and distribute any derivatives under the same license.
+
+For full license terms, please refer to the [LICENSE](./LICENSE) file.
+
+If you have questions regarding the dataset or its usage, please contact:
+
+**[email protected]**
+
+## Additional Terms Regarding Trained Models
+
+Any AI models, algorithms, or systems trained, fine-tuned, or developed using the ForestPersons Dataset are strictly limited to non-commercial use.
+
+
+## Disclaimer
+
+The ForestPersons Dataset is provided "as is" without any warranty of any kind, either express or implied, including but not limited to warranties of merchantability, fitness for a particular purpose, and non-infringement.
+
+The authors and affiliated institutions shall not be held liable for any damages arising from the use of the dataset.
+
+
+## Acknowledgments
+
+This work was supported by the Institute of Information & Communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT):
+Project No. 2022-0-00021, Development of Core Technologies for Autonomous Searching Drones.
+