bassat6969/animalclef2026-segmented

AnimalCLEF2026 Segmented

This Hugging Face dataset repo provides segmented and preprocessed derivatives of the official AnimalCLEF26 dataset released through the Kaggle competition:

AnimalCLEF26 @ CVPR & CLEF Kaggle Competition

The dataset was processed by applying animal segmentation to the original competition images in order to reduce background noise and improve downstream animal re-identification and classification experiments.

This repository is packaged in imagefolder style with a metadata.csv file mapping each image to its corresponding label.

Structure

• images/ - segmented image hierarchy
• metadata.csv - file-level labels and attributes

Notes

• The label column uses the species plus identity folder from the original Kaggle dataset tree.
• Images in this repository are derived from the official AnimalCLEF26 competition dataset.
• This repository is intended for research and educational purposes only.
• Users must comply with all original dataset licenses, usage restrictions, and competition rules.

License and Usage Notice

The original datasets used in AnimalCLEF26 belong to their respective authors and maintain their original licenses and restrictions.

The user of this dataset must follow the provided license terms of the original datasets, including SeaTurtleID2022 and WildlifeReID-10k. In particular, some source datasets prohibit commercial applications and redistribution. If WildlifeReID-10k was used as a training database, its license file must also be followed.

If requested by the original authors or competition organizers, this repository and/or derived files may be removed.

Citation

If you use this repository, please cite both the original AnimalCLEF26 competition and the accompanying datasets/papers.

@inproceedings{adam2024seaturtleid2022,
  title={SeaTurtleID2022: A long-span dataset for reliable sea turtle re-identification},
  author={Adam, Luk{\'a}{\v{s}} and {\v{C}}erm{\'a}k, Vojt{\v{e}}ch and Papafitsoros, Kostas and Picek, Lukas},
  booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision},
  pages={7146--7156},
  year={2024}
}

@article{biffi2025identification,
  title={Identification of individual Texas Horned Lizards (Phrynosoma cornutum) using genotypes and ventral spot patterns},
  author={Biffi, Daniella and Tucker, Mary R and Ackel, Alexis and Williams, Dean A},
  journal={Ecology and Evolution},
  volume={15},
  number={3},
  pages={e71167},
  year={2025},
  publisher={Wiley Online Library}
}

@inproceedings{vcermak2024wildlifedatasets,
  title={WildlifeDatasets: An open-source toolkit for animal re-identification},
  author={{\v{C}}erm{\'a}k, Vojt{\v{e}}ch and Picek, Lukas and Adam, Luk{\'a}{\v{s}} and Papafitsoros, Kostas},
  booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision},
  pages={5953--5963},
  year={2024}
}

@article{adam2024wildlifereid,
  title={WildlifeReID-10k: Wildlife re-identification dataset with 10k individual animals},
  author={Adam, Luk{\'a}{\v{s}} and {\v{C}}erm{\'a}k, Vojt{\v{e}}ch and Papafitsoros, Kostas and Picek, Lukas},
  journal={arXiv preprint arXiv:2406.09211},
  year={2024}
}

@misc{animal-clef-2026,
    author = {Lukáš Adam, Lukas Picek, Kostas Papafitsoros, Dean Williams, Daniella Biffi},
    title = {AnimalCLEF26 @ CVPR & CLEF},
    year = {2026},
    howpublished = {\url{https://kaggle.com/competitions/animal-clef-2026}},
    note = {Kaggle}
}