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).