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ibm-nasa-geospatial
/
Prithvi-EO-1.0-100M-burn-scar

Image Segmentation
TerraTorch
English
Pytorch
mmsegmentation
segmentation
burn scars
Geospatial
Foundation model
Model card Files Files and versions
xet
Community
6

Instructions to use ibm-nasa-geospatial/Prithvi-EO-1.0-100M-burn-scar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • TerraTorch

    How to use ibm-nasa-geospatial/Prithvi-EO-1.0-100M-burn-scar with TerraTorch:

    from terratorch.registry import BACKBONE_REGISTRY
    
    model = BACKBONE_REGISTRY.build("ibm-nasa-geospatial/Prithvi-EO-1.0-100M-burn-scar")
  • Notebooks
  • Google Colab
  • Kaggle
Prithvi-EO-1.0-100M-burn-scar
1.2 GB
Ctrl+K
Ctrl+K
  • 10 contributors
History: 36 commits
blumenstiel's picture
blumenstiel
Update README.md
0e9e0db verified 12 months ago
  • .gitattributes
    1.57 kB
    Upload burn_scar.png about 3 years ago
  • README.md
    2.93 kB
    Update README.md 12 months ago
  • burn_scar.png
    1.21 MB
    xet
    Upload burn_scar.png about 3 years ago
  • burn_scars_Prithvi_100M.pth

    Detected Pickle imports (7)

    • "collections.OrderedDict",
    • "numpy.core.multiarray.scalar",
    • "torch.LongStorage",
    • "torch.FloatStorage",
    • "_codecs.encode",
    • "torch._utils._rebuild_tensor_v2",
    • "numpy.dtype"

    How to fix it?

    1.2 GB
    xet
    Upload burn_scars_Prithvi_100M.pth about 3 years ago
  • burn_scars_Prithvi_100M.py
    6.54 kB
    Pretrained in EncoderDecoder almost 3 years ago
  • config.yaml
    0 Bytes
    Create config.yaml over 1 year ago