BAGLS-VF - A comprehensive dataset for glottal area and vocal fold segmentations

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Authors: S H Pedram Razi, Andreas M. Kist
Cited by: 1

Abstract

BAGLS-VF contains 59250 videolaryngoscopic frames with pixel-level annotations of three anatomical structures: glottal area, left vocal fold, and right vocal fold. The dataset is derived from the original BAGLS dataset and was semi-automatically annotated by a trained rater using a standardized annotation protocol. Images originate from high-speed videolaryngoscopic recordings of subjects undergoing clinical examination and cover a wide range of anatomical variability and imaging conditions. The dataset is provided as grayscale and RGB images together with the respective segmentation masks in which different anatomical regions are encoded as separate classes. BAGLS-VF is intended to support research in medical image segmentation, laryngeal biomechanics, and computer-assisted diagnosis.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
15 April 2026
Language
EN
Document type
Dataset