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LexBwmn
/
ACE-V1

Object Detection
ultralytics
Safetensors
yolo
medical
tumor-detection
yolo11
brain tumor
computer vision
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use LexBwmn/ACE-V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • ultralytics

    How to use LexBwmn/ACE-V1 with ultralytics:

    # Couldn't find a valid YOLO version tag.
    # Replace XX with the correct version.
    from ultralytics import YOLOvXX
    
    model = YOLOvXX.from_pretrained("LexBwmn/ACE-V1")
    source = 'http://images.cocodataset.org/val2017/000000039769.jpg'
    model.predict(source=source, save=True)
  • Notebooks
  • Google Colab
  • Kaggle
ACE-V1 / valid
283 kB
Ctrl+K
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  • 1 contributor
History: 1 commit
LexBwmn's picture
LexBwmn
Super-squash branch 'main' using huggingface_hub
9a5cc59 about 1 month ago
  • BoxF1_curve.png
    101 kB
    xet
    Super-squash branch 'main' using huggingface_hub about 1 month ago
  • BoxPR_curve.png
    85.3 kB
    Super-squash branch 'main' using huggingface_hub about 1 month ago
  • confusion_matrix_normalized.png
    96.3 kB
    Super-squash branch 'main' using huggingface_hub about 1 month ago
  • validation_metrics
    0 Bytes
    Super-squash branch 'main' using huggingface_hub about 1 month ago