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:
- c7cb7f0d6cdfbdf96766f38e82446896c4665b07aa53f3270559583d98798570
- Size of remote file:
- 318 kB
- SHA256:
- 673a44f447b9c1f851d0b7440d58aefac1e3d3057a507dca6e3531001911f2d5
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