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nakamura196
/
yolov8s-layout-detection

Object Detection
ultralytics
v8
ultralyticsplus
yolov8
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use nakamura196/yolov8s-layout-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • ultralytics

    How to use nakamura196/yolov8s-layout-detection with ultralytics:

    from ultralytics import YOLOvv8
    
    model = YOLOvv8.from_pretrained("nakamura196/yolov8s-layout-detection")
    source = 'http://images.cocodataset.org/val2017/000000039769.jpg'
    model.predict(source=source, save=True)
  • Notebooks
  • Google Colab
  • Kaggle
yolov8s-layout-detection
22.7 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
nakamura196's picture
nakamura196
feat: udpate readme
ab3b07b over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • .gitignore
    26 Bytes
    feat: add config over 2 years ago
  • 01_predict.ipynb
    1.76 kB
    feat: udpate readme over 2 years ago
  • README.md
    1.06 kB
    feat: udpate readme over 2 years ago
  • best.pt
    22.5 MB
    xet
    feat: add pt over 2 years ago
  • config.json
    204 Bytes
    feat: udpate readme over 2 years ago
  • default.jpg
    155 kB
    feat: udpate readme over 2 years ago
  • requirements.txt
    15 Bytes
    feat: udpate readme over 2 years ago