Annotated dataset for retinal fundus image segmentation; Vascular arcade and optic nerve

This repository contains a set of manually generated segmentation masks derived from retinal fundus images from the public APTOS 2019 Blindness Detection dataset. The annotations correspond to two relevant anatomical structures in ophthalmology: the vascular arcade and the optic nerve. The dataset includes 500 masks in PNG format, along with annotation files in COCO (JSON) format and Python scripts used to generate the masks. This resource is intended to support the training and comparative evaluation of medical image segmentation models.本仓库包含一批从公开APTOS 2019失明检测数据集（APTOS 2019 Blindness Detection Dataset）的视网膜眼底图像（retinal fundus images）中手动生成的分割掩码（segmentation masks）。本次标注对应眼科领域两类关键解剖结构：血管弓（vascular arcade）与视神经（optic nerve）。本数据集包含500份PNG格式的分割掩码，配套提供COCO（JSON）格式的标注文件与用于生成上述掩码的Python脚本。本资源旨在为医学图像分割模型的训练与对比评估提供支撑。