A2A | Iridology | Global Machine Learning (ML) Data | Diagnostics based on External Eye Picture (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. 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

该数据集专为机器学习设计，提供全球眼图数据，包含瞳孔、虹膜和巩膜的前眼彩色图片，并配对21个身体部位的健康调查结果。数据覆盖超过1万个独特个体，总计10,839条记录，用于AI训练目的。