DDR Diabetic Retinopathy Detection Dataset Image: Dataset Samples. The DDR (Diabetic Retinopathy Detection) dataset is a large scale collection of retinal fundus images designed for training and evaluating algorithms in diabetic retinopathy (DR) grading and lesion level segmentation . It provides both image level DR labels and pixel level annotations of pathological features, making it suitable for classification and segmentation tasks. Dataset Overview Full Name: Diabetic Retinopathy Detection and Segmentation Dataset (DDR) Authors: Yuhao Zhang, Mingxia Liu, Qianni Zhang, et al. Associated Paper: Diabetic Retinopathy Lesion Segmentation Method Based on Multi Scale Attention and Lesion Perception Published in Information Sciences , Volume 501, 2019. ScienceDirect Link Source: Kaggle DDR Dataset Institution: Chinese Academy of Sciences, Beijing, China License: CC BY 4.0 Dataset Structure 🧩 Categories The dataset includes five DR severity levels, labeled according to the International Clinical Diabetic Retinopathy (ICDR) scale: Label Description : : 0 No Diabetic Retinopathy 1 Mild Nonproliferative DR 2 Moderate Nonproliferative DR 3 Severe Nonproliferative DR 4 Proliferative DR Add…
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