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Apr 14, 2020
Kvammen, Andreas; Wickstrøm, Kristoffer; McKay, Derek; Partamies, Noora, 2020, "Replication Data for: Auroral Image Classification with Deep Neural Networks", https://doi.org/10.18710/SSA38J, DataverseNO, V3
Results from a study of automatic aurora classification using machine learning techniques are presented. The aurora is the manifestation of physical phenomena in the ionosphere magnetosphere environment. Automatic classification of millions of auroral images from the Arctic and A...
Plain Text - 4.6 KB - MD5: 6c25a3fdae5cc8db0938a055991b217e
ReadMe file where dataset and the files in repository is described.
Jupyter Notebook - 8.6 KB - MD5: ddd34b7f1d5d9754a71b45d70af39b93
Google colab notebook to training ResNet 18 classifier on aurora dataset.
Unknown - 72.9 MB - MD5: ee2755c2c09b8f2cf8395eae849a1484
Data
File containing images and labels stored as numpy arrays.
Adobe PDF - 157.5 KB - MD5: d5d42b2e7cf58c748b78d9771ffc3010
Data license.
ZIP Archive - 10.2 MB - MD5: b1ff172b00f06c86dd82c021683d451e
Zipped archive containing the test images of the dataset in .PNG format. The class of the image is included in the image title.
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