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.
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}}
}