Object Detection
ultralytics
yolo
instance-segmentation
image-classification
pose-estimation
obb
tracking
yolo11
Eval Results (legacy)
Instructions to use Ultralytics/YOLO11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use Ultralytics/YOLO11 with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("Ultralytics/YOLO11") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Commit History
Use markdown badges in header (HTML badge rows don't render inline on HF) 2bab406 verified
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Fix latest-model wording (YOLO26 is latest) a615444 verified
Fix classification FLOPs size (224) and model-index metric type 8229949 verified
Align model card with current Ultralytics README standard 1f6cd6b verified
Add pipeline_tag and task tags for discoverability a07d04d verified
revert last doc changes c1ac518 verified
docs: π yolo26 readme added c6cf343 verified
docs: π docker version badge added. 4839c43 verified
fix(readme): π badge alignment and broken CI badge fixed 47b6dab verified
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