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

- Xet hash:
- f0d1ac32ebecdf4ed6dcc00c8f8e6f832ab49d60aca3fe0b8e05715c008f6216
- Size of remote file:
- 276 kB
- SHA256:
- bd1b5330e3e403f90cb439d6c66da3469ae5c9d4bd588d74f065f22610d50f88
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