A Brazilian Multilabel Ophthalmological Dataset (BRSET)

The Brazilian Multilabel Ophthalmological Dataset (BRSET) is a multi-labeled ophthalmological dataset designed to improve scientific community development and validate machine learning models. In ophthalmology, ancillary exams support medical decisions and can be used to develop algorithms; however, the availability and representativeness of ophthalmological datasets are limited. This dataset consists of 16,266 images from 8,524 Brazilian patients. Demographics, macula, optic disc, and vessels anatomical parameters, focus, illumination, image field, and artifacts as quality control, and multi-labels are included alongside color fundus retinal photos. This dataset enables computer vision models to predict demographic characteristics and multi-label disease classification using retinal fundus photos.巴西多标签眼科数据集（Brazilian Multilabel Ophthalmological Dataset, BRSET）是一款多标签眼科数据集，旨在推动科学界发展并验证机器学习模型。在眼科领域，辅助检查可辅助临床决策，亦可用于算法开发；但当前眼科数据集的可获取性与代表性均较为有限。本数据集包含来自8524名巴西患者的16266张图像，在收录彩色眼底视网膜照片的同时，还纳入了人口统计学信息、黄斑（macula）、视盘（optic disc）及血管的解剖参数、拍摄焦距、光照条件、成像视野、作为质量控制指标的伪影情况，以及多标签标注。本数据集可支持计算机视觉模型基于视网膜眼底照片预测人口统计学特征，并完成多标签疾病分类任务。

搜集汇总

背景与挑战

背景概述

BRSET是一个巴西多标签眼科数据集，包含16,266张来自8,524名患者的视网膜眼底照片，旨在支持机器学习模型开发和验证。数据集覆盖人口统计学、解剖参数和质量控制信息，并支持多标签疾病分类和人口特征预测，以解决眼科数据可用性和代表性有限的问题。