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:
- 17698cd5bcd45c38b8f29e4e9a41f0133d9dc96c24516baca15301a61a50c9ca
- Size of remote file:
- 296 kB
- SHA256:
- 1790519c66caf80bec62facf69cc3b128eb8912aa0cccd624cb33bc4e2ce6f42
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