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DaneshSelwal
/
Classification-6Bands-Models

Keras
English
remote-sensing
multispectral
hyperspectral
uncertainty-quantification
conformal-prediction
Model card Files Files and versions
xet
Community

Instructions to use DaneshSelwal/Classification-6Bands-Models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Keras

    How to use DaneshSelwal/Classification-6Bands-Models with Keras:

    # !pip install -U keras tensorflow huggingface_hub
    # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here;
    # "jax" and "torch" also work for computation once TensorFlow is installed.
    import os
    os.environ["KERAS_BACKEND"] = "tensorflow"
    
    import keras
    
    model = keras.saving.load_model("hf://DaneshSelwal/Classification-6Bands-Models")
    
  • Notebooks
  • Google Colab
  • Kaggle
Classification-6Bands-Models / baseline /models
1.19 GB
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  • 1 contributor
History: 6 commits
DaneshSelwal's picture
DaneshSelwal
feat(models): upload 6-band baseline ViT_UNet_final.keras
9ed8ecd verified 18 days ago
  • AlexNet_CNN_best.keras
    272 MB
    xet
    feat(models): upload 6-band baseline AlexNet_CNN_best.keras 18 days ago
  • AlexNet_CNN_final.keras
    272 MB
    xet
    feat(models): upload 6-band baseline AlexNet_CNN_final.keras 18 days ago
  • GFNet_best.keras
    127 MB
    xet
    feat(models): upload 6-band baseline GFNet_best.keras 18 days ago
  • GFNet_final.keras
    127 MB
    xet
    feat(models): upload 6-band baseline GFNet_final.keras 18 days ago
  • ViT_UNet_best.keras
    194 MB
    xet
    feat(models): upload 6-band baseline ViT_UNet_best.keras 18 days ago
  • ViT_UNet_final.keras
    194 MB
    xet
    feat(models): upload 6-band baseline ViT_UNet_final.keras 18 days ago