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:
- 2fac496cce04b6f83070a6d72706a82a3db97e2a07581623b056334d85edc9e0
- Size of remote file:
- 28.9 MB
- SHA256:
- 41bd46824a4aa8836560911fd197201accae6986887f7a8b022e31f93e70c32d
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