Instructions to use dronefreak/visdrone-yolov11m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use dronefreak/visdrone-yolov11m 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-yolov11m") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 58fb50981820b633dda5716f0c58251e374f90abd830c1313a38543d0f068ec3
- Size of remote file:
- 296 kB
- SHA256:
- 24bb61316805089a9f6cfe8c403d17459c4b79f6ba4e2ad88c2ef80d88289715
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