Instructions to use dronefreak/visdrone-yolov8n with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use dronefreak/visdrone-yolov8n 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-yolov8n") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- f28497dd6e839efa874b0d263e34fe8d079f7ade172330531ae82dd2667b4bbe
- Size of remote file:
- 286 kB
- SHA256:
- 162badbeda08087fb7d3cc19e9c69d4a680034d9a9b5dbc3e6ce54b9d87683c1
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