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
add arxiv reference to readme so that this model shows in the arxiv page instead of some 3rd party
Browse files
README.md
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@@ -54,6 +54,8 @@ Find detailed documentation in the [Ultralytics Docs](https://docs.ultralytics.c
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Request an Enterprise License for commercial use at [Ultralytics Licensing](https://www.ultralytics.com/license).
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<a href="https://platform.ultralytics.com/ultralytics/yolo26" target="_blank">
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<img width="100%" src="https://raw.githubusercontent.com/ultralytics/assets/refs/heads/main/yolo/performance-comparison.png" alt="YOLO26 performance plots">
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</a>
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Request an Enterprise License for commercial use at [Ultralytics Licensing](https://www.ultralytics.com/license).
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Read the technical details on our [official YOLO26 paper](https://arxiv.org/abs/2606.03748).
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<a href="https://platform.ultralytics.com/ultralytics/yolo26" target="_blank">
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<img width="100%" src="https://raw.githubusercontent.com/ultralytics/assets/refs/heads/main/yolo/performance-comparison.png" alt="YOLO26 performance plots">
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</a>
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