diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..77617605799911b1e7d45e551dddfd9f8b76fff3 --- /dev/null +++ b/README.md @@ -0,0 +1,258 @@ +--- +license: cc-by-4.0 +task_categories: + - object-detection + - image-classification + - video-classification +language: + - en +tags: + - poultry + - chicken + - egg + - broiler + - hen + - agriculture + - smart-farming + - precision-livestock-farming + - animal-welfare + - multi-camera + - tracking + - yolo + - yolov11 + - computer-vision +size_categories: + - 10K/*.jpg +│ ├── val//*.jpg +│ └── test//*.jpg +├── videos/ # 24 MP4 videos (4 cameras × 6 samples) +├── calibrations/ # Camera calibration (intrinsics + extrinsics) +│ └── cam_/ +│ ├── intrinsics/{cameraMatrix.txt, distCoeffs.txt} +│ └── extrinsics/{rvec.txt, tvec.txt} +├── multi_view_detection/ # Pre-computed per-frame YOLO detections +├── reprojection_masks/ # Ground-plane ROI masks +└── tracking_gt/ # Multi-camera tracking ground truth +``` + +--- + +## 🚀 Quick start + +### Download + +```bash +pip install huggingface_hub +hf download --repo-type dataset Williamsanderson/PoultryVision-Dataset --local-dir PoultryVision-Dataset +``` + +### Train a YOLO detector + +```python +from ultralytics import YOLO +model = YOLO("yolo11m.pt") +model.train( + data="PoultryVision-Dataset/data.yaml", + epochs=70, + imgsz=640, + batch=16, + optimizer="AdamW", + lr0=0.001, +) +``` + +Reference YOLO recipe that produced the published model: + +```yaml +model: yolo11m.pt +epochs: 70 +imgsz: 640 +optimizer: AdamW +lr0: 0.001 +hsv_h: 0.015 +hsv_s: 0.7 +hsv_v: 0.4 +mosaic: 1.0 +mixup: 0.1 +close_mosaic: 10 +auto_augment: randaugment +``` + +### Image classification + +```python +from torchvision.datasets import ImageFolder +from torchvision import transforms + +tfm = transforms.Compose([ + transforms.Resize((224, 224)), + transforms.ToTensor(), +]) +train = ImageFolder("PoultryVision-Dataset/classification/train", transform=tfm) +``` + +### Multi-camera tracking + +Calibration files follow the MVBroTrack paper convention. Each camera folder +contains `cameraMatrix.txt`, `distCoeffs.txt`, `rvec.txt`, `tvec.txt`. +The repository ships a full multi-view pipeline (Algorithm 1 & 2 of the paper, +Tracking-by-Curve-Matching) — see +[`Williamsanderson/PoultryVision` model repo](https://huggingface.co/Williamsanderson/PoultryVision). + +--- + +## 🏆 Benchmark + +Model trained on this dataset (YOLOv11m, 70 epochs, imgsz 640, AdamW): + +| Metric | Value | +|---------------|-------:| +| mAP@50-95 | **0.793** | +| mAP@50 | **0.971** | +| Precision | 0.934 | +| Recall | 0.934 | + +Compared to the MVBroTrack paper (Cardoen et al., 2025): + +| Model | mAP@50-95 | Params | +|-------------------------------------|:---------:|:------:| +| YOLOv11x fine-tuned (paper) | 70.8 % | 56.9 M | +| **YOLOv11m fine-tuned (ours)** | **79.3 %**| 20.1 M | + +--- + +## ⚖️ License + +This dataset is released under **CC-BY-4.0**. + +- The unified packaging, splits and labels harmonization are © 2025 Williams Anderson, CC-BY-4.0. +- Individual source datasets retain their original licenses: + - **MVBroTrack** (Cardoen et al., 2025) — see the original paper and its data statement + - **Roboflow Universe** datasets — typically CC-BY-4.0 (check each source) + - **images.cv** datasets — CC-BY-4.0 / public domain +- Please cite the original sources if you use the corresponding subsets. + +--- + +## 📚 Citation + +```bibtex +@misc{williamsanderson_poultryvision_dataset_2025, + title = {PoultryVision: A Unified Dataset for Poultry-Farm Computer Vision}, + author = {Williams Anderson}, + year = {2025}, + howpublished = {\url{https://huggingface.co/datasets/Williamsanderson/PoultryVision-Dataset}}, +} + +@article{cardoen2025mvbrotrack, + title = {Multi-camera detection and tracking for individual broiler monitoring}, + author = {Cardoen, J. and others}, + journal = {Computers and Electronics in Agriculture}, + year = {2025} +} +``` + +--- + +## 🙏 Acknowledgements + +- **Cardoen et al.** (MVBroTrack) for the multi-camera broiler data +- **Roboflow** and **images.cv** communities for the chicken / egg datasets +- **Ultralytics** for the YOLOv11 framework that produced the reference model diff --git a/data.yaml b/data.yaml new file mode 100644 index 0000000000000000000000000000000000000000..e2508178e9ae8a90a518e2ab380365b020feff26 --- /dev/null +++ b/data.yaml @@ -0,0 +1,16 @@ +# PoultryVision Unified Dataset +# Auto-generated by PoultryVision Dataset Builder +# Sources: Dataset Chicken 1-3, Chickens-Eggs v1, chicken eggs 2 v3, MVBroTrack + +path: c:/Users/HP/Downloads/Dataset Model Firm/PoultryVision/dataset +train: images/train +val: images/val +test: images/test + +nc: 2 +names: + 0: chicken + 1: egg + +# Dataset statistics (auto-generated) +# See dataset_card.md for full details diff --git a/dataset_card.md b/dataset_card.md new file mode 100644 index 0000000000000000000000000000000000000000..1304aef93457d8d2fbe520d3e41ff1964d333c6d --- /dev/null +++ b/dataset_card.md @@ -0,0 +1,85 @@ +--- +license: cc-by-4.0 +task_categories: + - object-detection + - image-classification + - video-classification +tags: + - poultry + - chicken + - egg + - broiler + - farming + - agriculture + - animal-welfare + - multi-camera + - tracking + - yolo +language: + - en +size_categories: + - 10K