Instructions to use dronefreak/visdrone-yolov9c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use dronefreak/visdrone-yolov9c 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-yolov9c") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 03c243b7f9486f0323292cb25d5dd4b6611d69a70241b0d7df9510ae7943cb6b
- Size of remote file:
- 298 kB
- SHA256:
- 6b5cf53a4126b84bdd86aee9ac3d00da59033a595e4c05507abcdae9f7bdeaeb
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