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README.md

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+---
+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}}
+}
+```