Instructions to use dronefreak/visdrone-yolov26n with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use dronefreak/visdrone-yolov26n 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-yolov26n") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 472033a40a4f92f5f09c2b7e31a6d73b7e38c3c10452650e7db0f579290a0e44
- Size of remote file:
- 326 kB
- SHA256:
- 4924b4793898df8ea732a3c75a0e81284fdf67c0ea1e160d9c90409438c155ef
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