| # AnimalClue YOLO Datasets |
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| ## AnimalClue: Recognizing Animals by their Traces |
| ### 📌 ICCV 2025 Highlight |
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| This repository is part of the **AnimalClue** project, which explores the recognition of wild animals **from indirect clues** such as feathers, footprints, feces, eggs, and bones. These datasets are designed for object detection training using **YOLO format**. |
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| Each image filename is linked to an observation ID, and any use of the image must comply with the license associated with the corresponding observation. |
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| --- |
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| ## 📂 Included Datasets |
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| This repository is one of five closely related datasets: |
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| - [`feather_yolo`](https://huggingface.co/risashinoda/feather_yolo) |
| - [`egg_yolo`](https://huggingface.co/risashinoda/egg_yolo) |
| - [`feces_yolo`](https://huggingface.co/risashinoda/feces_yolo) |
| - [`footprint_yolo`](https://huggingface.co/risashinoda/footprint_yolo) |
| - [`bone_yolo`](https://huggingface.co/risashinoda/bone_yolo) |
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| ## Citation |
| ``` |
| @inproceedings{shinoda2025animalclue, |
| title={AnimalClue: Recognizing Animals by Their Traces}, |
| author={Shinoda, Risa and Inoue, Nakamasa and Laina, Iro and Rupprecht, Christian and Kataoka, Hirokatsu}, |
| booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision}, |
| pages={14776--14786}, |
| year={2025} |
| } |
| ``` |
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| Please consider citing the related paper as well. |
| ``` |
| @INPROCEEDINGS{10648043, |
| author={Shinoda, Risa and Shiohara, Kaede}, |
| booktitle={2024 IEEE International Conference on Image Processing (ICIP)}, |
| title={OpenAnimalTracks: A Dataset for Animal Track Recognition}, |
| year={2024}, |
| volume={}, |
| number={}, |
| pages={110-116}, |
| doi={10.1109/ICIP51287.2024.10648043}} |
| ``` |
