Friedrich-Alexander-Universität Erlangen-Nürnberg - FAU
Published July 29, 2022 | Version 1
Dataset Open

GlottisNetV2 - Time variant training and testing data

Creators

  • 1. Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
  • 2. Division of Phoniatrics and Pediatric Audiology, Department Otolaryngology, Head and Neck Surgery,University Hospital Erlangen

Description

Here we provide time variant training and testing data for the GlottisNetV2 study. In particular, this dataset relies on the benchmark for automatic glottis segmentation (BAGLS dataset). This three-dimensional data (time, y, x) is used for experiments involving deep neural networks capable of processing time-variant data. 

Each folder contains videos each with the following data:

  • Endoscopic video as mp4 (*.mp4)
  • Glottis segmentation as mask-file (hdf5 container, *.mask)
  • Glottis segmentation as mp4 file (*_mask.mp4)
  • Metadata as JSON file (*.meta)
  • Glottal midline annotation as JSON file (*.points)

Files

test.zip

Files (589.5 MB)

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md5:fc7101f78bbb92e659f948714a58fddf
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md5:f79b2862986b06cab3e24ef6e1f7c754
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