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:
from huggingface_hub import hf_hub_download from ultralytics import YOLO # pick the weights file from this repo's "Files and versions" tab weights = hf_hub_download("Ultralytics/YOLO11", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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results:
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- task:
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type: object-detection
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metrics:
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- type: precision # since mAP@0.5:0.95 is not available on hf.co/metrics
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value: 54.7
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results:
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- task:
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type: object-detection
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dataset:
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type: merve/coco
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name: COCO2017
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split: validation
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metrics:
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- type: precision # since mAP@0.5:0.95 is not available on hf.co/metrics
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value: 54.7
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