Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

ibm-nasa-geospatial
/
Prithvi-EO-1.0-100M-multi-temporal-crop-classification

Image Segmentation
TerraTorch
English
Pytorch
mmsegmentation
segmentation
Crop Classification
Multi Temporal
Geospatial
Foundation model
Model card Files Files and versions
xet
Community
10

Instructions to use ibm-nasa-geospatial/Prithvi-EO-1.0-100M-multi-temporal-crop-classification 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-multi-temporal-crop-classification with TerraTorch:

    from terratorch.registry import BACKBONE_REGISTRY
    
    model = BACKBONE_REGISTRY.build("ibm-nasa-geospatial/Prithvi-EO-1.0-100M-multi-temporal-crop-classification")
  • Notebooks
  • Google Colab
  • Kaggle
Prithvi-EO-1.0-100M-multi-temporal-crop-classification
1.68 GB
Ctrl+K
Ctrl+K
  • 9 contributors
History: 21 commits
HamedAlemo's picture
HamedAlemo
updated authors in the citation
d1d60e2 about 3 years ago
  • .gitattributes
    1.59 kB
    Uploading trained parameters, config and model related images about 3 years ago
  • README.md
    4.14 kB
    updated authors in the citation about 3 years ago
  • multi_temporal_crop_classification.png
    1.2 MB
    xet
    Update the illustration for the finetune process about 3 years ago
  • multi_temporal_crop_classification_Prithvi_100M.pth

    Detected Pickle imports (7)

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

    How to fix it?

    1.68 GB
    xet
    Upload multi_temporal_crop_classification_Prithvi_100M.pth about 3 years ago
  • multi_temporal_crop_classification_Prithvi_100M.py
    7.13 kB
    Update multi_temporal_crop_classification_Prithvi_100M.py about 3 years ago