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:
- 2aedb01216138b6536638aa2b3a831a291b6127ee5bdff54cd0614ec5f301116
- Size of remote file:
- 337 kB
- SHA256:
- 3f9bb276a59e0689632aae1bc4f31c45b17fde9a8cd0fbb441ef052cddab954b
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