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dronefreak
/
vdd-yolo26n-sem

Image Segmentation
ultralytics
PyTorch
semantic-segmentation
aerial-imagery
drone
vdd
yolo26
computer-vision
Eval Results (legacy)
Model card Files Files and versions
xet
Community
1

Instructions to use dronefreak/vdd-yolo26n-sem with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • ultralytics

    How to use dronefreak/vdd-yolo26n-sem 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/vdd-yolo26n-sem")
    source = 'http://images.cocodataset.org/val2017/000000039769.jpg'
    model.predict(source=source, save=True)
  • Notebooks
  • Google Colab
  • Kaggle
vdd-yolo26n-sem
6.44 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
dronefreak's picture
dronefreak
Add model-index metadata for HF evaluation results widget
2aee32e verified 12 days ago
  • .gitattributes
    1.74 kB
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  • README.md
    8.2 kB
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  • args.yaml
    1.77 kB
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  • best.pt
    3.46 MB
    xet
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  • confusion_matrix.png
    262 kB
    xet
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  • confusion_matrix_normalized.png
    170 kB
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  • demo_grid.png
    2.2 MB
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  • iou_bar_chart.png
    79.7 kB
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  • results.csv
    27.5 kB
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  • results.png
    230 kB
    xet
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