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Aditya2162
/
ivus-segmentation

Image Segmentation
Keras
TensorBoard
TF-Keras
English
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use Aditya2162/ivus-segmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Keras

    How to use Aditya2162/ivus-segmentation with Keras:

    # Available backend options are: "jax", "torch", "tensorflow".
    import os
    os.environ["KERAS_BACKEND"] = "jax"
    
    import keras
    
    model = keras.saving.load_model("hf://Aditya2162/ivus-segmentation")
    
  • Notebooks
  • Google Colab
  • Kaggle
ivus-segmentation / output
28.7 MB
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  • 1 contributor
History: 1 commit
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Aditya2162
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  • data_scale_vs_accuracy_projected_points.png
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  • data_scale_vs_accuracy_projected_points.txt
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  • f1_vs_threshold_curve_selected_point.png
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  • multitask_test_inference.json
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  • precision_recall_curve_with_operating_point.png
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