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ShallowDusty
/
argus-yolov12-crack

Object Detection
ultralytics
English
yolov12
crack-detection
wall-crack
attention-mechanism
ema-attention
ablation-study
Model card Files Files and versions
xet
Community

Instructions to use ShallowDusty/argus-yolov12-crack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • ultralytics

    How to use ShallowDusty/argus-yolov12-crack with ultralytics:

    from huggingface_hub import hf_hub_download
    from ultralytics import YOLO
    
    # pick the weights file from this repo's "Files and versions" tab
    weights = hf_hub_download("ShallowDusty/argus-yolov12-crack", "<weights>.pt")
    model = YOLO(weights)
    source = 'http://images.cocodataset.org/val2017/000000039769.jpg'
    model.predict(source=source, save=True)
  • Notebooks
  • Google Colab
  • Kaggle
argus-yolov12-crack
55.3 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
ShallowDusty's picture
ShallowDusty
Initial weights release: recommended config (Kaggle n=3, 3070 n=3), cross-domain (crack500/deepcrack), baseline
67b3014 verified 6 months ago
  • 3070
    Initial weights release: recommended config (Kaggle n=3, 3070 n=3), cross-domain (crack500/deepcrack), baseline 6 months ago
  • baseline
    Initial weights release: recommended config (Kaggle n=3, 3070 n=3), cross-domain (crack500/deepcrack), baseline 6 months ago
  • cross-domain
    Initial weights release: recommended config (Kaggle n=3, 3070 n=3), cross-domain (crack500/deepcrack), baseline 6 months ago
  • kaggle
    Initial weights release: recommended config (Kaggle n=3, 3070 n=3), cross-domain (crack500/deepcrack), baseline 6 months ago
  • .gitattributes
    1.52 kB
    initial commit 6 months ago
  • README.md
    3.6 kB
    Initial weights release: recommended config (Kaggle n=3, 3070 n=3), cross-domain (crack500/deepcrack), baseline 6 months ago