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:
- 1d85fcc7c9d2520f1fcd94ffe55b4afc9d7fb57160a49ea7c8a242a009e6661c
- Size of remote file:
- 391 kB
- SHA256:
- 836fd9a8132a877244be3601ecb9806002fe27f9172e45d5fd75d126451001c4
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