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:
- 3af7ba24540db6f8b91ae2fd54ad7f962a73d64093da0a7a9c7596a96f74bec4
- Size of remote file:
- 284 kB
- SHA256:
- 02d8c643a942b782c5a0f1d1d30ec9601586d11af2246eaf8a62cfdb4ad360bc
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