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license: cc-by-2.0 |
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--- |
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# Volcanic Event Classification Dataset and Data Loader |
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This project contains a dataset for classifying volcanic events and a Jupyter Notebook (`DataModuleTestThraws.ipynb`) for loading and preprocessing this data using PyTorch and PyTorch Lightning. |
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## Dataset Structure |
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The dataset is organized into two main directories: |
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* `TrainVal/`: Contains data for training and validation. |
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* `Test/`: Contains data for testing the trained model. |
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Within both `TrainVal/` and `Test/` directories, there are two subdirectories: |
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* `event/`: Contains data samples corresponding to volcanic events. |
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* `notevent/`: Contains data samples corresponding to non-event (background) instances. |
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All data samples are stored in `.pkl` files. These files likely contain image data, possibly as NumPy arrays, representing satellite imagery or other sensor data related to volcanic activity. |
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