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phena/poultry-disease-dataset

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>… See the full description on the dataset page: https://huggingface.co/datasets/phena/poultry-disease-dataset.

sourceHugging Faceagpl-3.0updated 4mo agoView on Hugging Face
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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

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}}
}