---
license: agpl-3.0
language:
  - en
tags:
  - poultry
  - disease-detection
  - object-detection
  - computer-vision
  - veterinary
  - agriculture
  - yolo
task_categories:
  - object-detection
size_categories:
  - n<1K
---

# Poultry Disease Detection Dataset

A custom-annotated dataset of poultry images for detecting **26 disease lesions and clinical signs** across 3 major poultry diseases: Newcastle Disease, Coccidiosis, and Fowlpox.

## Dataset Details

- **~406 labeled images** in YOLO format
- **26 classes** (lesions and clinical signs)
- Annotations created with **CVAT**
- Images from farm and veterinary postmortem contexts

## Format

Labels are in **YOLO format** (`.txt` per image):
```
<class_id> <x_center> <y_center> <width> <height>
```
All coordinates normalized 0–1.

## Classes

See `dataset.yaml` for the full class list.

## Associated Model

Fine-tuned YOLOv11n trained on this dataset: [Evet-Africa/poultry-disease-detector](https://huggingface.co/Evet-Africa/poultry-disease-detector)

## License

AGPL-3.0 — must be open-sourced if used in derivative works.

## Citation

```bibtex
@misc{poultry-disease-dataset-2025,
  title        = {Poultry Disease Detection Dataset},
  year         = {2025},
  publisher    = {Hugging Face},
  howpublished = {\url{https://huggingface.co/datasets/Evet-Africa/poultry-disease-dataset}}
}
```