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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
26.6 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
LexBwmn's picture
LexBwmn
Update README.md
d5459c9 verified 17 days ago
  • archive
    Super-squash branch 'main' using huggingface_hub about 1 month ago
  • valid
    Super-squash branch 'main' using huggingface_hub about 1 month ago
  • .gitattributes
    1.97 kB
    Upload ACE.MOV 17 days ago
  • ACE.MOV
    2.98 MB
    xet
    Upload ACE.MOV 17 days ago
  • BoxPR_curve.png
    88.9 kB
    Super-squash branch 'main' using huggingface_hub about 1 month ago
  • README.md
    5.98 kB
    Update README.md 17 days ago
  • config.json
    119 Bytes
    Super-squash branch 'main' using huggingface_hub about 1 month ago
  • confusion_matrix_normalized.png
    95.6 kB
    Super-squash branch 'main' using huggingface_hub about 1 month ago
  • data.yaml
    167 Bytes
    Super-squash branch 'main' using huggingface_hub about 1 month ago
  • model.safetensors
    10.5 MB
    xet
    Super-squash branch 'main' using huggingface_hub about 1 month ago
  • results.png
    145 kB
    xet
    Super-squash branch 'main' using huggingface_hub about 1 month ago