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
Refresh metrics.txt
Browse files- metrics.txt +3 -1
metrics.txt
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@@ -5,5 +5,7 @@ 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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mAP50=0.801310
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mAP50-95=0.454920
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imgsz=1280
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params_fused_m=24.7
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base=yolo26l.pt
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dataset=WIDER FACE (YOLO format)
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latency_ms_h100_imgsz1280≈14
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