Object Detection
ultralytics
yolo
yolov11
poultry
chicken
egg
broiler
agriculture
smart-farming
animal-welfare
precision-livestock-farming
Eval Results (legacy)
Instructions to use Williamsanderson/PoultryVision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use Williamsanderson/PoultryVision with ultralytics:
from ultralytics import YOLOvv11 model = YOLOvv11.from_pretrained("Williamsanderson/PoultryVision") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
File size: 416 Bytes
eacfff4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | # 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
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