Instructions to use dronefreak/visdrone-yolov26x with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use dronefreak/visdrone-yolov26x 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-yolov26x") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- a748ab83cdbafb320f15b17b1f26ea495e447db5c30bf2b06428e30ac589d500
- Size of remote file:
- 336 kB
- SHA256:
- d1eb8a218dce78fbcd6b58c869a926d74e82f42a5ba6820d7f33b345d2cefa87
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