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rohitm9
/
surfaceWaterGlobal_flood

Image Segmentation
fastai
PyTorch
geospatial
remote-sensing
semantic-segmentation
sentinel-1
alphaearth
flood-mapping
surface-water
Model card Files Files and versions
xet
Community

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
surfaceWaterGlobal_flood / src
184 kB
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  • 1 contributor
History: 1 commit
rohitm9's picture
rohitm9
Flood water model: S1+AEF trained on W+O, no AEF dropout (seed 42), with inference code and evaluations
2a958b1 verified 7 days ago
  • infer.py
    31.8 kB
    Flood water model: S1+AEF trained on W+O, no AEF dropout (seed 42), with inference code and evaluations 7 days ago
  • train.py
    152 kB
    Flood water model: S1+AEF trained on W+O, no AEF dropout (seed 42), with inference code and evaluations 7 days ago