GlottisNetV2 - Time variant training and testing data

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)