Image Segmentation
fastai
PyTorch
geospatial
remote-sensing
semantic-segmentation
sentinel-1
alphaearth
flood-mapping
surface-water
Instructions to use rohitm9/surfaceWaterGlobal_flood with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastai
How to use rohitm9/surfaceWaterGlobal_flood with fastai:
from huggingface_hub import from_pretrained_fastai learn = from_pretrained_fastai("rohitm9/surfaceWaterGlobal_flood") - Notebooks
- Google Colab
- Kaggle
Commit History
7 days ago
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README: fix partial-download command (repeat --include)
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Add S1-only W+O model (s1_only/seed42) and compare it with S1+AEF in the README and evaluation files
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Flood water model: S1+AEF trained on W+O, no AEF dropout (seed 42), with inference code and evaluations
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initial commit
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