Where Do Images Come From? Analyzing Captions to Geographically Profile Datasets

In this project, we analyze where training images come from by mapping image–caption pairs to countries using location mentions in captions. Studying three widely used datasets (Re-LAION, DataComp1B, and Conceptual Captions) across 20 common visual entities, we find that a small number of high-income countries—primarily the United States, United Kingdom, and Canada—dominate the data, while many regions, especially South America and Africa, are heavily underrepresented.