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

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.BAGLS-VF 包含59250帧视频喉镜影像帧，附带三种解剖结构的像素级标注：声门区域、左侧声带与右侧声带。该数据集源自原始BAGLS数据集，由经过专业培训的标注员按照标准化标注协议完成半自动标注。其影像数据来源于接受临床检查的受试者的高速视频喉镜录制内容，涵盖了广泛的解剖变异与多样的成像条件。本数据集以灰度图像与RGB图像的形式提供，同时附带对应的分割掩码（segmentation mask），掩码中不同解剖区域将以独立类别进行编码。BAGLS-VF 旨在为医学图像分割、喉部生物力学及计算机辅助诊断领域的研究提供支撑。