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:
- 98b6de00848f3f8b267dd0f82d07bc2388012ac17b74ad1ce58f1400c6bdf879
- Size of remote file:
- 336 kB
- SHA256:
- f7921b42ac6f4a975714c99efdb11bf33f591ed46e850a97f76c197b8fac9b0b
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