Instructions to use dronefreak/visdrone-yolov11s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use dronefreak/visdrone-yolov11s 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-yolov11s") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 85ff404f77b4238bd73942ce778d7d73b2d24192b119e4f81601cb5f1494dbd2
- Size of remote file:
- 293 kB
- SHA256:
- 2d532bdf8e034f02a4034d3ae8338d584df109c68ae34731525863492fb9890f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.