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
Muhammad Rizwan Munawar commited on
Delete preprocessor_config.json
Browse files- preprocessor_config.json +0 -17
preprocessor_config.json
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{
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"do_normalize": true,
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"do_resize": true,
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"image_processor_type": "YolosImageProcessor",
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"format": "coco_detection",
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"image_mean": [
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0.485,
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0.456,
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0.406
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],
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"image_std": [
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0.229,
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0.224,
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0.225
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],
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"size": {"shortest_edge": 512, "longest_edge": 1333}
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}
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