| --- |
| license: cc-by-4.0 |
| task_categories: |
| - object-detection |
| pretty_name: DonaDataset |
| --- |
| |
| # DonaDataset |
|
|
|  |
| [](https://wildintel.eu/) |
|
|
| Version: `REPLACE_WITH_VERSION` |
|
|
| Camera-trap image dataset for object detection, from Doñana National Park, Spain. |
|
|
| ## Dataset format |
|
|
| This dataset is distributed in YOLO format for object detection. |
|
|
| After downloading and extracting all tar shards into the same directory, the expected structure is: |
|
|
| ```text |
| . |
| ├── donana.yaml |
| ├── images/ |
| │ ├── train/ |
| │ ├── val/ |
| │ └── test/ |
| └── labels/ |
| ├── train/ |
| ├── val/ |
| └── test/ |
| ``` |
|
|
| The YOLO configuration file uses relative paths: |
|
|
| ```yaml |
| path: . |
| train: images/train |
| val: images/val |
| test: images/test |
| ``` |
|
|
| ## Splits |
|
|
| - `train`: 3 images |
| - `val`: 3 images |
| - `test`: 3 images |
|
|
| ## Classes |
|
|
| - `0`: Ave |
| - `1`: Felis catus |
| - `2`: Bos taurus |
| - `3`: Canis familiaris |
| - `4`: Herpestes ichneumon |
| - `5`: Meles meles |
| - `6`: Oryctolagus cuniculus |
| - `7`: Dama dama |
| - `8`: Genetta genetta |
| - `9`: Equus sp |
| - `10`: Lepus granatensis |
| - `11`: Lynx pardinus |
| - `12`: Cervus elaphus |
| - `13`: Vulpes vulpes |
| - `14`: Sus scrofa |
| - `15`: Empty |
|
|
| ## Data files |
|
|
| The image and label files are stored inside tar shards under: |
|
|
| ```text |
| data/train/ |
| data/val/ |
| data/test/ |
| ``` |
|
|
| Each tar file preserves YOLO-compatible internal paths, for example: |
|
|
| ```text |
| images/train/example.jpg |
| labels/train/example.txt |
| ``` |
|
|
| ## Integrity verification |
|
|
| The export includes: |
|
|
| ```text |
| checksums-sha256.txt |
| manifest.csv |
| manifest-files-sha256.csv |
| verification_report_local.json |
| ``` |
|
|
| Use these files to verify downloaded shards and internal image/label hashes. |
|
|
| ## Example extraction |
|
|
| From the directory containing the downloaded files: |
|
|
| ```bash |
| mkdir -p extracted |
| cp donana.yaml extracted/ |
| |
| for f in data/train/*.tar data/val/*.tar data/test/*.tar; do |
| tar -xf "$f" -C extracted/ |
| done |
| ``` |
|
|
| Then train with a YOLO-compatible framework using: |
|
|
| ```text |
| extracted/donana.yaml |
| ``` |
|
|
| ## Hugging Face repository |
|
|
| ```text |
| wildintelproject/donadataset |
| ``` |
|
|
| ## Contributing |
|
|
| Issues and pull requests are welcome in the source code repository: https://github.com/wildintelproject/donadataset |
|
|
| ## Funding |
|
|
| This work is part of the [WildINTEL project](https://wildintel.eu/), funded by the |
| [Biodiversa+](https://www.biodiversa.eu/) Joint Research Call 2022-2023 |
| "Improved transnational monitoring of biodiversity and ecosystem change for science and society (BiodivMon)". |
|
|
| ## License |
|
|
| This dataset is released under: `CC-BY-4.0`. |
|
|
| ## Citation |
|
|
| Please check `CITATION.cff` for citation information. |
|
|
| ## Limitations and ethical considerations |
|
|
| Before using this dataset, users should review possible limitations related to camera-trap data, class imbalance, annotation quality, environmental bias, privacy, and sensitive ecological information. |
|
|
| ## Zenodo Sandbox DOI |
|
|
| This dataset version has an associated Zenodo linked dataset record. |
|
|
| - DOI: `10.5281/zenodo.565913` |
| - DOI URL: https://doi.org/10.5281/zenodo.565913 |
| - Zenodo record: https://sandbox.zenodo.org/records/565913 |
| - Record type: `zenodo_linked_dataset_record` |
|
|
| Note: this is a Zenodo Sandbox DOI for workflow testing only. It must not be used for formal citation. |
|
|
