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:
- 733dc49b4d8ff080840ab9c019058bb6dca4393205e571d45a91665d636f378c
- Size of remote file:
- 293 kB
- SHA256:
- 213971d2bafbe4457147c5d16fefb96f6b63ddbece85ecc7f5ec55b7093d0f05
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