Instructions to use dronefreak/visdrone-yolov26m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use dronefreak/visdrone-yolov26m 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-yolov26m") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 58e42e357b5decf3a7fbc974db1186a9e5aafe599e9ccb94df2fcf7095570e9c
- Size of remote file:
- 37.4 MB
- SHA256:
- c6b103abc427ba41bd85bc4fb3b8cb18a8399ec6ff74531f2e41104ae8fecacd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.