Instructions to use dronefreak/visdrone-yolov10l with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use dronefreak/visdrone-yolov10l 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-yolov10l") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 71b82cb8550fea2f258e17abc6b44a2b42f4d373f8cd2b1085805e17996ca712
- Size of remote file:
- 334 kB
- SHA256:
- 8ef24a4ce6f2189164429e70bf1a8b881a1e19fe1c38d170347ddcf27931a5d6
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