Image Segmentation
ultralytics
PyTorch
semantic-segmentation
aerial-imagery
drone
uavid
yolo26
computer-vision
Instructions to use dronefreak/uavid-yolo26m-sem with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use dronefreak/uavid-yolo26m-sem 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/uavid-yolo26m-sem") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- acfd78e308a11272e73adae607d6eab818f968f8754df9d4a7c13566ad210dd0
- Size of remote file:
- 204 kB
- SHA256:
- 55242848a7d613922ad8ceffabf612ac69dd0f16b5f422d556998357232ca627
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