Kaggle Diabetic Retinopathy Detection Training Dataset (DRD)

This dataset is a large set of high-resolution retina images taken under a variety of imaging conditions. A left and right field is provided for every subject. Images are labeled with a subject id as well as either left or right (e.g. 1_left.jpeg is the left eye of patient id 1). A clinician has rated the presence of diabetic retinopathy in each image on a scale of 0 to 4, according to the following scale: 0 - No DR 1 - Mild 2 - Moderate 3 - Severe 4 - Proliferative DR Total Images: 35126. The distribution of labels is: 0: 25810, 1: 2443, 2: 5292, 4: 708, 3: 873 Your task is to create an automated analysis system capable of assigning a score based on this scale. The images in the dataset come from different models and types of cameras, which can affect the visual appearance of left vs. right. Some images are shown as one would see the retina anatomically (macula on the left, optic nerve on the right for the right eye). Others are shown as one would see through a microscope cond

本数据集为由多种成像条件所拍摄的大量高分辨率视网膜图像的集合。对于每位受试者，均提供了左眼和右眼的图像。图像标签包含受试者ID以及左眼或右眼（例如，1_left.jpeg表示患者ID为1的左眼）。一位临床医生根据以下量表对每张图像中糖尿病视网膜病变的存在进行了评分，评分范围为0至4：0 - 无DR，1 - 轻度，2 - 中度，3 - 重度，4 - 增生性DR。总图像数量为35126。标签的分布如下：0: 25810，1: 2443，2: 5292，4: 708，3: 873。您的任务是为创建一个自动分析系统，能够根据此量表分配评分。数据集中的图像来自不同的模型和类型的相机，这可能影响左右眼的视觉外观。某些图像展示了视网膜的解剖结构（右眼，黄斑位于左侧，视神经位于右侧），而其他图像则展示了通过显微镜所见的景象。