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:
- 10a36e704458bdfc7e857d04c6b5f076aaab1b9ce7bc3dfe94a124a1236b458e
- Size of remote file:
- 288 kB
- SHA256:
- 14c5e5d345518ea63bed616c9781ac43dbe1067721fa550e32ac04a7a5272f85
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