Instructions to use dronefreak/visdrone-yolov9t with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use dronefreak/visdrone-yolov9t 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-yolov9t") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- bd0ca335d58337e53b12cd7ae1b96ba215645da2ae65370e2b66c4410a7d1eb7
- Size of remote file:
- 337 kB
- SHA256:
- 689cffd578a55755b9ace7a51f487fafbd417efe72d6ec7bdf86255ad8811e9d
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