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
feat: add ONNX export (opset 12, 1920x1920, 46 MB)
Browse files
geotrax_hbb_yolov8s_1920_v1.onnx
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oid sha256:85fd9e0558618b283d5925ffe4484922f33685ac481009ee611c593feceee05b
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size 46098577
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