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rohitm9
/
surfaceWaterGlobal

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

Instructions to use rohitm9/surfaceWaterGlobal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • fastai

    How to use rohitm9/surfaceWaterGlobal with fastai:

    from huggingface_hub import from_pretrained_fastai
    
    learn = from_pretrained_fastai("rohitm9/surfaceWaterGlobal")
  • Notebooks
  • Google Colab
  • Kaggle
surfaceWaterGlobal / evaluation
15.8 kB
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  • 1 contributor
History: 1 commit
rohitm9's picture
rohitm9
Release v2: models trained on the Dynamic World label class
7c49718 verified 17 days ago
  • planetscope_53_scenes_ablations.csv
    736 Bytes
    Release v2: models trained on the Dynamic World label class 17 days ago
  • planetscope_53_scenes_main_table.csv
    490 Bytes
    Release v2: models trained on the Dynamic World label class 17 days ago
  • planetscope_53_scenes_threshold_sweep.json
    3.45 kB
    Release v2: models trained on the Dynamic World label class 17 days ago
  • s1s2water_per_scene.csv
    2.69 kB
    Release v2: models trained on the Dynamic World label class 17 days ago
  • s1s2water_pooled.csv
    2.36 kB
    Release v2: models trained on the Dynamic World label class 17 days ago
  • validation_eval_summary.json
    5.3 kB
    Release v2: models trained on the Dynamic World label class 17 days ago
  • validation_threshold_sweep.csv
    768 Bytes
    Release v2: models trained on the Dynamic World label class 17 days ago