Image Segmentation
ultralytics
PyTorch
semantic-segmentation
aerial-imagery
drone
vdd
yolo26
computer-vision
Instructions to use dronefreak/vdd-yolo26n-sem with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use dronefreak/vdd-yolo26n-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/vdd-yolo26n-sem") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- e0cdac31dc490de59d920f0bd81160eef33e08bc8c0db40b843a253efdb5048e
- Size of remote file:
- 230 kB
- SHA256:
- 9dfabb2cc2df67529b570138154c2ecf2b5b9b032f8d752339bad3904415ca51
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