Multiview Body Image Dataset with Anthropometric Measurements for Nutritional Status Assessment

A multimodal dataset of 831 standardized body photographs (frontal, lateral, and posterior views) from 277 adult volunteers, paired with anthropometric measurements and expert-assigned nutritional status labels. Collected at Universidad Autónoma de Ciudad Juárez (UACJ), Mexico. Includes a CSV annotation file with 15 variables: age, sex, height, weight, BMI, six body circumferences, CUN-BAE body fat percentage, body type (gynecoid/android), and nutritional status (underweight, normal, overweight, obesity).本数据集为多模态人体数据集，包含来自277名成年志愿者的831张标准化人体照片，涵盖正面、侧面与背面三个拍摄视角，同步配套人体测量学数据与专家标注的营养状态标签。该数据集采集自墨西哥华雷斯城自治大学（Universidad Autónoma de Ciudad Juárez, UACJ）。数据集附带一份CSV格式注释文件，内含15项变量：年龄、性别、身高、体重、身体质量指数（Body Mass Index, BMI）、六项身体围度、CUN-BAE体脂率、体型（女性型/男性型）以及营养状态（体重不足、正常、超重、肥胖）。