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rfonod
/
geo-trax

Object Detection
ultralytics
ONNX
English
yolov8
aerial-imagery
drone
vehicle-detection
birds-eye-view
geo-trax
trajectory
urban-traffic
tracking
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use rfonod/geo-trax with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • ultralytics

    How to use rfonod/geo-trax with ultralytics:

    from ultralytics import YOLOvv8
    
    model = YOLOvv8.from_pretrained("rfonod/geo-trax")
    source = 'http://images.cocodataset.org/val2017/000000039769.jpg'
    model.predict(source=source, save=True)
  • Notebooks
  • Google Colab
  • Kaggle
geo-trax
69.3 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 20 commits
rfonod's picture
rfonod
docs: make the software citation version-independent
bfb79e7 verified 21 days ago
  • assets
    Fix figure height mismatch: HF's global CSS overrides HTML height attribute, so pad confusion_matrix_normalized.png to match PR_curve.png's aspect ratio instead 2 months ago
  • .gitattributes
    1.65 kB
    Upload folder using huggingface_hub 3 months ago
  • LICENSE
    18.7 kB
    Upload folder using huggingface_hub 3 months ago
  • README.md
    14.5 kB
    docs: make the software citation version-independent 21 days ago
  • geotrax_hbb_yolov8s_1920_v1.onnx
    46.1 MB
    xet
    feat: add ONNX export (opset 12, 1920x1920, 46 MB) 3 months ago
  • geotrax_hbb_yolov8s_1920_v1.pt
    22.9 MB
    xet
    Upload folder using huggingface_hub 3 months ago