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AnimalClue YOLO Datasets

AnimalClue: Recognizing Animals by their Traces

📌 ICCV 2025 Highlight

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.

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.

📂 Included Datasets

This repository is one of five closely related datasets:

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}
}

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}}

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