Instructions to use dronefreak/visdrone-yolov8m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use dronefreak/visdrone-yolov8m 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-yolov8m") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 79fd18e8652cdb4c097a38078cfb7a16cd861a8d936cef8d8782dea47d977d39
- Size of remote file:
- 386 kB
- SHA256:
- 0730f77b7dc8238341e13c723a165de40012cec3aff96423131ee2a910342d9d
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