Open ultrawidefield fundus image dataset with disease diagnosis and clinical image quality assessment

This dataset consisted of 700 high-resolution UWF images from 602 patients and corresponding clinical information from six common fundus diseases and healthy volunteers. The image quality is annotated by three ophthalmologists based on the field of view, illumination, artifact, contrast, and overall quality. We believe this dataset could contribute to the development of automatic image quality assessment for UWF images in clinical practice.

本数据集包含700幅高分辨率超宽视野眼底成像（Ultra-Widefield Fundus, UWF）图像，采集自602名受试者，涵盖6种常见眼底疾病患者与健康志愿者的对应临床信息。图像质量由三名眼科医师依据视野、光照、伪影、对比度及整体质量完成标注。我们认为，该数据集可为临床场景下UWF图像自动质量评估技术的研发提供助力。