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

- Xet hash:
- f9d0d527a7f37b5ff78a9c9cb85d64db219ae3f98d9432fc8aa78d18368eac86
- Size of remote file:
- 110 kB
- SHA256:
- ed65d79a23e79380b5bc2291481ca31483ab662652ac619adc2f03dc52e6511c
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