Object Detection
ultralytics
yolo
instance-segmentation
image-classification
pose-estimation
obb
tracking
semantic-segmentation
yolo26
Eval Results (legacy)
Instructions to use Ultralytics/YOLO26 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use Ultralytics/YOLO26 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/YOLO26", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Commit History
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Update content to reflect https://github.com/ultralytics/ultralytics/blob/main/README.md`
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docs: split badge groups for better rendering in readme text and badges
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docs: π extra space aligment for badge and text
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docs: π small spacing problem fix for proper rendering
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fix(docs): π fixing bunch of badge text alignments for better visual for readme
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docs: minor typo updates for branding
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model: π upload all yolo26 modelsβ
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docs: π yolo26 model readme added.
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initial commit
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