Open ultrawidefield fundus image dataset with disease diagnosis and clinical image quality assessment
Version 1This 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.
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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.