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:
- cf99dd926db29cc48f7239338f307855f5b13d5cf2b3b88a74d7e51dcaeed008
- Size of remote file:
- 343 kB
- SHA256:
- 1e7b85b6c6a74489919703d163740644d4739cab12e79bc58e764021bc52b0dc
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