# Estimation of Body Mass Index from Photographs using Deep Convolutional Neural Networks

arXiv: https://arxiv.org/abs/1908.11694 · HTML: https://mlsanity.com/paper/1908.11694/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 29 Aug 2019.

## Built on by (most cited first, 2 of 2)

- [Digital Scale: Open-Source On-Device BMI Estimation from Smartphone Camera Images Trained on a Large-Scale Real-World Dataset](https://mlsanity.com/paper/2508.20534/) (2025)
- [Weight and Height Estimation from a Single Human Image Captured in the Wild](https://mlsanity.com/paper/2607.26104/) (2026)

## Abstract (arXiv)

Obesity is an important concern in public health, and Body Mass Index is one of the useful (and proliferant) measures. We use Convolutional Neural Networks to determine Body Mass Index from photographs in a study with 161 participants. Low data, a common problem in medicine, is addressed by reducing the information in the photographs by generating silhouette images. Results present with high correlation when tested on unseen data.