A2A | Neuro-Ophthalmology | Global Machine Learning (ML) Data | Diagnostics based on External Eye (Pupil/Iris/Sclera) | 10K+ Unique Individuals

A2A's EyeD Data for Machine Learning (ML) Data - a series of Eye based ID data worldwide unique and homogeneous quality for Neuro-Ophthalmology Worldwide Unique Global Eye Pictures (Color) containing Pupil, Iris and Sclera paired with Survey on 21 Body Parts for AI Training Purpose Our Machine Learning (ML) Data for Iris covers 10K+ Unique Individuals across all geographic regions: 1. Asia Africa Southern Europe Grey 2. Asia Africa Southern Europe Grey 3. Northern Europe Middle East Northern India Grey 4. Northern Europe Middle East Northern India Minor Grey 5. Russia Baltic Grey 6. Russia Baltic Minor Grey 7. USA Southern Africa Grey 8. USA Southern Africa Minor Grey Provided: Color picture of Anterior Eye (Pupil/Iris/Sclera) and belonging survey on 21 body parts whether one or multiple parts are ok/sick - 10,839 data records (Image + Survey Results)

搜集汇总

背景与挑战

背景概述

该数据集名为A2A Neuro-Ophthalmology，专为机器学习设计，提供全球10,000多名独特个体的彩色前眼图像（包含瞳孔、虹膜和巩膜），并附带针对21个身体部位的健康状况调查。总计包含10,839条图像与调查结果配对的数据记录，覆盖多个地理区域，用于神经眼科诊断分析。