Development and validation of an AI-generated real-world object stimuli set
Gerard Campbell, Graeme Nicholls, Rebecca Hart, Richard J. Allen, Claudia C. von Bastian, Melanie R. Burke, Mario Parra Rodriguez, Louise A. Brown Nicholls · 2026
Read Development and validation of an AI-generated real-world object stimuli set by Gerard Campbell, Graeme Nicholls, Rebecca Hart, Richard J. Allen, Claudia C. von Bastian, Melanie R. Burke, Mario Parra Rodriguez, Louise A. Brown Nicholls (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13144173.txt.
Description
Gerard Campbell and co-authors created and validated a set of two hundred AI generated images of everyday objects for vision research, in work published in 2026. Hand built photo sets vary in size, color, and angle, which clashes with studies that need tight control. Each new image shows an object as if set on a flat surface, in gray tones that can be recolored.
Ninety adults, younger and older, rated how nameable, realistic, and familiar the objects look. Most images scored high on all three, with no age gap in ratings. Each image ships in seven colors with brightness and contrast data. The authors release the set in public for future studies.
Catalog record
| CREATOR | Gerard Campbell, Graeme Nicholls, Rebecca Hart, Richard J. Allen, Claudia C. von Bastian, Melanie R. Burke, Mario Parra Rodriguez, Louise A. Brown Nicholls |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 39 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |