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keremberke
/
yolov8m-table-extraction

Object Detection
ultralytics
TensorBoard
PyTorch
v8
ultralyticsplus
yolov8
yolo
vision
awesome-yolov8-models
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
2

Instructions to use keremberke/yolov8m-table-extraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • ultralytics

    How to use keremberke/yolov8m-table-extraction with ultralytics:

    from ultralytics import YOLOvv8
    
    model = YOLOvv8.from_pretrained("keremberke/yolov8m-table-extraction")
    source = 'http://images.cocodataset.org/val2017/000000039769.jpg'
    model.predict(source=source, save=True)
  • Notebooks
  • Google Colab
  • Kaggle
yolov8m-table-extraction
52.5 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 8 commits
keremberke's picture
keremberke
glenn-jocher's picture
glenn-jocher
Update to AGPL-3.0 License (#1)
8826513 verified over 2 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    1.73 kB
    Update to AGPL-3.0 License (#1) over 2 years ago
  • best.pt
    52 MB
    xet
    Upload yolov8 best model over 3 years ago
  • config.json
    161 Bytes
    add ultralyticsplus config over 3 years ago
  • events.out.tfevents.1674965488.ovyeman.33996.9
    40 Bytes
    xet
    Upload yolov8 tensorboard logs over 3 years ago
  • thumbnail.jpg
    465 kB
    upload sample visuals over 3 years ago