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:
- 06693a5b84d8a8067ff5d4598c66040f69f6148040045e1c08df732836e59c0a
- Size of remote file:
- 340 kB
- SHA256:
- f4a43c45dafec414efbf257e4725efc4e96410e71e9f2502f4b9229851c5356c
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