Published June 25, 2025
| Version v1
Dataset
Open
Data release of Paying Attention to Other Animal Detections Improves Camera Trap Classification Models
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1.
Centre National de la Recherche Scientifique
Description
Data release of: Paying Attention to Other Animal Detections Improves Camera Trap Classification Models
Preprint is available on bioRxiv : https://www.biorxiv.org/content/10.1101/2025.07.15.664849
Code is available on GitHub : https://github.com/gdussert/MCA_Classifier
This repository contains:
* models:
* crop_classifier.pt
* mca_classifier.pt
* data:
* serengeti_train: training set of Snapshot Serengeti
* serengeti_test: test set of Snapshot Serengeti
* serengeti_toy: toy dataset to quickly test all the scripts, it contains only the pictures of Snapshot Serengeti camera trap location C12
* safari2024: whole Snapshot Safari 2024 Expansion dataset
* crop_images.zip: crop images of Snapshot Serengeti camera trap location C12
Please cite our paper for the models:
@misc{dussert2025attention,
author = {Dussert, Gaspard and Dray, Stéphane and Chamaillé-Jammes, Simon and Miele, Vincent},
title = {Paying Attention to Other Animal Detections Improves Camera Trap Classification Models},
year = {2025},
doi = {10.1101/2025.07.15.664849},
publisher = {bioRxiv},
type = {preprint},
}
author = {Dussert, Gaspard and Dray, Stéphane and Chamaillé-Jammes, Simon and Miele, Vincent},
title = {Paying Attention to Other Animal Detections Improves Camera Trap Classification Models},
year = {2025},
doi = {10.1101/2025.07.15.664849},
publisher = {bioRxiv},
type = {preprint},
}
Please cite this paper for the Serengeti dataset:
@article{swanson2015snapshot,
title={Snapshot Serengeti, high-frequency annotated camera trap images of 40 mammalian species in an African savanna},
author={Swanson, Alexandra and Kosmala, Margaret and Lintott, Chris and Simpson, Robert and Smith, Arfon and Packer, Craig},
journal={Scientific data},
volume={2},
number={1},
pages={1--14},
year={2015},
publisher={Nature Publishing Group}
}
title={Snapshot Serengeti, high-frequency annotated camera trap images of 40 mammalian species in an African savanna},
author={Swanson, Alexandra and Kosmala, Margaret and Lintott, Chris and Simpson, Robert and Smith, Arfon and Packer, Craig},
journal={Scientific data},
volume={2},
number={1},
pages={1--14},
year={2015},
publisher={Nature Publishing Group}
}
Files
crop_images.zip
Files
(16.5 GB)
| Name | Size | Download all |
|---|---|---|
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md5:0493a0b882aeeeac1a15f43c45a6e56d
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1.2 GB | Download |
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md5:1ad3d199afa9fdec7b26a75720b61799
|
1.2 GB | Preview Download |
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md5:72922a56c861070ae54dd42d55fad5aa
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201.7 MB | Download |
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md5:246e68889213ec7b46a30d49ec17dc3d
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3.7 GB | Preview Download |
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md5:4217d866c20667bc4ac6602cb798e61b
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2.8 GB | Preview Download |
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md5:68ab4f12c3073f0deffe149e76141faa
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37.3 MB | Preview Download |
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md5:d2903a84ec173b24da5a161c1bf6c484
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7.4 GB | Preview Download |
Additional details
Software
- Repository URL
- https://github.com/gdussert/MCA_Classifier
- Programming language
- Python