| --- |
| license: cdla-permissive-1.0 |
| task_categories: |
| - object-detection |
| tags: |
| - wildlife |
| - camera-trap |
| - conservation |
| - object-detection |
| - bounding-boxes |
| - animals |
| - ecology |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # ENA24 - Eastern North America Camera Trap Object Detection |
|
|
| Camera trap images with bounding box annotations for 23 wildlife species from Eastern North America. |
|
|
| ## Dataset Description |
|
|
| This dataset contains 8,789 camera trap images with 9,772 bounding box annotations across 23 species. Images are 1920x1080 resolution. Annotations are in COCO format (xywh bounding boxes). |
|
|
| Originally collected by the University of Missouri and distributed via [LILA BC](https://lila.science/datasets/ena24detection/) (Labeled Information Library of Alexandria: Biology and Conservation). |
|
|
| ## Species (23 categories) |
|
|
| | Species | Count | | Species | Count | |
| |---|---|---|---|---| |
| | American Crow | 1,278 | | Eastern Cottontail | 340 | |
| | American Black Bear | 959 | | Bobcat | 333 | |
| | Chicken | 732 | | Eastern Gray Squirrel | 319 | |
| | Dog | 726 | | Eastern Chipmunk | 311 | |
| | Virginia Opossum | 725 | | Striped Skunk | 297 | |
| | Domestic Cat | 482 | | Northern Raccoon | 292 | |
| | Grey Fox | 438 | | Bird | 225 | |
| | Wild Turkey | 427 | | Woodchuck | 206 | |
| | Red Fox | 413 | | Vehicle | 138 | |
| | White-Tailed Deer | 381 | | Horse | 63 | |
| | Coyote | 344 | | Human | 0 | |
| | Eastern Fox Squirrel | 343 | | | | |
|
|
| ## Dataset Structure |
|
|
| Each example contains: |
| - `image`: Camera trap photograph (PIL Image) |
| - `image_id`: Unique image identifier |
| - `width` / `height`: Image dimensions |
| - `objects`: Object detection annotations |
| - `bbox`: List of bounding boxes in COCO format `[x, y, width, height]` |
| - `category`: List of species labels (`ClassLabel`) |
| - `area`: List of bounding box areas |
|
|
| ## Usage |
|
|
| ```python |
| from datasets import load_dataset |
| |
| dataset = load_dataset("davanstrien/ena24-detection") |
| ``` |
|
|
| ### Train an object detector |
|
|
| This dataset is compatible with the [Hugging Face vision-trainer skill](https://github.com/huggingface/skills/tree/main/skills/hugging-face-vision-trainer) for fine-tuning object detection models: |
|
|
| ```bash |
| hf jobs uv run --flavor l4x1 \ |
| https://huggingface.co/datasets/hugging-face-vision-trainer/scripts/raw/main/object_detection_training.py \ |
| --dataset_name davanstrien/ena24-detection \ |
| --model_name_or_path facebook/detr-resnet-50 \ |
| --output_dir wildlife-detector \ |
| --do_train --do_eval \ |
| --push_to_hub |
| ``` |
|
|
| ## Source and License |
|
|
| - **Source**: [LILA BC - ENA24 Detection](https://lila.science/datasets/ena24detection/) |
| - **License**: [Community Data License Agreement - Permissive 1.0](https://cdla.dev/permissive-1-0/) |
| - **Original contributor**: University of Missouri |
| - **COCO JSON converted by**: Vardhan Duvvuri |
| - **Citation**: |
|
|
| ```bibtex |
| @misc{ena24, |
| title={ENA24 Detection Dataset}, |
| author={University of Missouri}, |
| year={2016}, |
| url={https://lila.science/datasets/ena24detection/} |
| } |
| ``` |
|
|
| ## Acknowledgments |
|
|
| This dataset was originally hosted on [LILA BC](https://lila.science/), a repository for labeled information supporting conservation biology research. Redistributed here under the CDLA Permissive 1.0 license. |
|
|
