Instructions to use uralman/yolo26l-widerface with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use uralman/yolo26l-widerface 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("uralman/yolo26l-widerface", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Add metrics.txt snapshot
Browse files- metrics.txt +9 -0
metrics.txt
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best_epoch=71
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last_epoch=73
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precision=0.895610
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recall=0.724530
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mAP50=0.801310
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mAP50-95=0.454920
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imgsz=1280
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base=yolo26l.pt
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clearml=https://app.clearml.frontierai.ru/projects/cb72b5a3688b45c697e83177eb42f28d/experiments/058081e03e174cf59943d584ff0e69f4
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