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Whistler segmentation training dataset

<p>Generated whistlers with pixel-segmented separate masks for each trace.</p> <p>File naming:<br> -&nbsp;&nbsp;train_images.tar.gz contains all the train images (&gt;10 GB)<br> -&nbsp;example_images.zip contains 5 spectrograms and the corresponding segmentation masks. (~5 MB))<br> - {id}_rothera_{n}_y.png, {id}_rothera_x.png, where {id} is a unique ID to match the masks and the spectrogram image, {n} enumerates the whistler traces within a spectrogram. Files ending _y.png are the bitmask images, while the _x.png files are the spectrograms.</p> <p>Opening the bitmasks in a regular image viewer might show only a black image. In this case, opening as a matrix (eg via matplotlib or opencv in python), converting to binary values, and visualizing them can help.</p> <p>To be updated upon acceptance of our research paper.</p>

ShareScore

32/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0

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