Instructions to use dronefreak/visdrone-yolov9m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use dronefreak/visdrone-yolov9m 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-yolov9m") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 4cf8f5f72481073275675730a6952c936524865ce0f0efe8ba173df45e6b6035
- Size of remote file:
- 341 kB
- SHA256:
- f15a24690ecaee9820019b6b82b5349545a0992a5841674769b860aaf049dddd
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