Instructions to use dronefreak/visdrone-yolov9c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use dronefreak/visdrone-yolov9c 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-yolov9c") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 53f773dccde5c0b5de7594a3f44b7b159315f86d79fdcef1027813a7b800f2f8
- Size of remote file:
- 339 kB
- SHA256:
- b4c7ddd1aa6ee8a8c6b3b84b9dc27a92b064c049ce9cdf9f0b67fab5633018f1
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