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misoda
/
yolo-mlw

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

Instructions to use misoda/yolo-mlw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • ultralytics

    How to use misoda/yolo-mlw with ultralytics:

    from ultralytics import YOLOvv8
    
    model = YOLOvv8.from_pretrained("misoda/yolo-mlw")
    source = 'http://images.cocodataset.org/val2017/000000039769.jpg'
    model.predict(source=source, save=True)
  • Notebooks
  • Google Colab
  • Kaggle
yolo-mlw
24.3 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
misoda's picture
misoda
Upload yolov8 tensorboard logs
e1b3d5b over 3 years ago
  • .gitattributes
    1.53 kB
    upload sample visuals over 3 years ago
  • README.md
    1.46 kB
    add ultralytics model card over 3 years ago
  • best.pt
    6.24 MB
    xet
    Upload yolov8 best model over 3 years ago
  • config.json
    161 Bytes
    add ultralyticsplus config over 3 years ago
  • events.out.tfevents.1674482046.mlw.2918.0
    16.7 MB
    xet
    Upload yolov8 tensorboard logs over 3 years ago
  • thumbnail.jpg
    1.29 MB
    xet
    upload sample visuals over 3 years ago