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dronefreak
/
visdrone-yolov26x

Object Detection
ultralytics
PyTorch
aerial-imagery
drone
visdrone
computer-vision
Model card Files Files and versions
xet
Community

Instructions to use dronefreak/visdrone-yolov26x with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • ultralytics

    How to use dronefreak/visdrone-yolov26x with ultralytics:

    # Couldn't find a valid YOLO version tag.
    # Replace XX with the correct version.
    from ultralytics import YOLOvXX
    
    model = YOLOvXX.from_pretrained("dronefreak/visdrone-yolov26x")
    source = 'http://images.cocodataset.org/val2017/000000039769.jpg'
    model.predict(source=source, save=True)
  • Notebooks
  • Google Colab
  • Kaggle
visdrone-yolov26x
163 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
dronefreak's picture
dronefreak
Upload README.md
2daccb9 verified about 2 months ago
  • .gitattributes
    1.84 kB
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  • BoxF1_curve.png
    355 kB
    xet
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  • BoxPR_curve.png
    336 kB
    xet
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  • BoxP_curve.png
    372 kB
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  • BoxR_curve.png
    331 kB
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  • README.md
    9.5 kB
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  • args.yaml
    1.75 kB
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  • best.pt
    118 MB
    xet
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  • confusion_matrix.png
    294 kB
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  • visdrone_showcase.gif
    42.8 MB
    xet
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