Instructions to use dronefreak/visdrone-yolov9s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use dronefreak/visdrone-yolov9s with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("dronefreak/visdrone-yolov9s") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 7e3e63663f2301b85c696b0ca1bcffb04e10ea922eb01b66c925916f30ffc214
- Size of remote file:
- 334 kB
- SHA256:
- b5edd01e08dd1391b84a4042c0f133f9ee4400f120c59938f83b5c5be6d80aff
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