Eye Conjunctiva Segmentation Dataset

The dataset consists of 547 eye images showing conjunctiva collected using two smartphones, the OnePlus 9R(48 MP, f/1.7) and OnePlus 9Pro(48 MP, f/1.8). The room where the images were captured had an adequate amount of lighting. While taking images the lower eyelid was gently moved down with the thumb to get accurate exposure to the conjunctiva of the eyes. No additional lighting was used during the image acquisition process. All the images were labeled using “Labelme” software by two annotators. Inter Annotator Agreement (IAA) was calculated among all the labeled images as an intersection percentage between annotated images from two annotators. The agreement found was almost perfect which is on average about 99.9%. The images are of very high resolution which is around (3000X4000). Annotated masks are of the same resolution as the corresponding image. The dataset contains three files. The file named 'Images' contains 547 original images showing eye conjunctiva. Files named 'Masks Annotator 1' and 'Masks Annotator 2' contain masks annotated by two different annotators.本数据集包含547张眼部结膜图像，采集设备为两款智能手机——OnePlus 9R（4800万像素，光圈f/1.7）与OnePlus 9 Pro（4800万像素，光圈f/1.8）。图像采集于光照充足的室内环境，拍摄时以拇指轻拉下眼睑以精准对准眼部结膜区域，全程未使用额外补光设备。所有图像由两名标注者通过Labelme软件完成标注，随后计算两名标注者的标注交集百分比以评估标注者间一致性（Inter Annotator Agreement, IAA），最终一致性近乎完美，平均达成率约为99.9%。所有图像分辨率极高，约为3000×4000像素，对应的标注掩码分辨率与原图像保持一致。本数据集包含三个文件，其中名为"Images"的文件夹包含547张原始眼部结膜图像；"Masks Annotator 1"与"Masks Annotator 2"则分别存储两名标注者生成的标注掩码。

搜集汇总

背景与挑战

背景概述

该数据集包含547张高分辨率眼结膜图像，使用OnePlus 9R和OnePlus 9Pro智能手机在充足光线下采集，无额外照明。图像由两位标注者通过Labelme软件进行精确标注，标注者间一致性高达99.9%，数据集提供原始图像和两个独立标注的掩码文件，适用于图像分割任务。