UK Biobank Fundus Retinal Images

该数据集包含了来自78,346位个体的右眼80,966张眼底视网膜图像，用于训练和评估一个专注于高血压疾病分类的模型。数据集还包括了丰富的元数据，如年龄、BMI、自我报告的饮酒量、种族和遗传信息。数据被分层并分为训练集、验证集和测试集，以便进行精确的模型训练和评估。该数据集的规模为78,346位个体的80,966张图像，任务是对视网膜图像进行高血压分类。

This dataset contains 80,966 fundus retinal images of the right eyes from 78,346 individuals, which is utilized for training and evaluating a model dedicated to hypertension classification. The dataset also provides comprehensive metadata including age, BMI, self-reported alcohol consumption, race, and genetic information. The data is stratified and divided into training, validation, and test sets to facilitate precise model training and evaluation. Comprising 80,966 images from 78,346 individuals, this dataset focuses on the task of hypertension classification for retinal fundus images.