Object Detection
ultralytics
ONNX
English
yolov8
aerial-imagery
drone
vehicle-detection
birds-eye-view
geo-trax
trajectory
urban-traffic
tracking
Eval Results (legacy)
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
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
Browse files- README.md +2 -2
- assets/confusion_matrix_normalized.png +2 -2
README.md
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<td align="center"><img src="assets/PR_curve.png" alt="Precision-Recall Curve"
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<td align="center"><img src="assets/confusion_matrix_normalized.png" alt="Normalized Confusion Matrix"
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<td align="center"><img src="assets/PR_curve.png" alt="Precision-Recall Curve" width="420"><br><sub>Precision-Recall Curve</sub></td>
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<td align="center"><img src="assets/confusion_matrix_normalized.png" alt="Normalized Confusion Matrix" width="420"><br><sub>Normalized Confusion Matrix</sub></td>
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assets/confusion_matrix_normalized.png
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Git LFS Details
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Git LFS Details
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