poultry-disease-dataset

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

License

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

Citation

@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}}
}