Famous Companies Use More Letters in Logo:A Large-Scale Analysis of Text Area in Logo

TL;DR

This study uses deep learning to analyze logo design trends and their correlation with company popularity, revealing that larger text areas in logos are weakly associated with more followers on social media.

Contribution

It introduces a large-scale analysis of logo text areas using deep learning, linking design features to social media popularity, which is a novel approach.

Findings

Weak positive correlation between text area ratio and followers.

Deep regression and ranking models effectively predict follower counts.

Design trends in logos relate to company popularity.

Abstract

This paper analyzes a large number of logo images from the LLD-logo dataset, by recent deep learning-based techniques, to understand not only design trends of logo images and but also the correlation to their owner company. Especially, we focus on three correlations between logo images and their text areas, between the text areas and the number of followers on Twitter, and between the logo images and the number of followers. Various findings include the weak positive correlation between the text area ratio and the number of followers of the company. In addition, deep regression and deep ranking methods can catch correlations between the logo images and the number of followers.