A visual complexity dataset across seven different categories, including Scenes, Advertisements, Visualization and infographics, Objects, Interior design, Art, and Suprematism for computer vision application.
- Updated
Sep 27, 2020 - Python
A visual complexity dataset across seven different categories, including Scenes, Advertisements, Visualization and infographics, Objects, Interior design, Art, and Suprematism for computer vision application.
Code for "Complexity in Complexity: Understanding Visual Complexity Through Structure, Color, and Surprise". CogSci, 2025 & ICLR Re-Align Workshop, 2025.
Visual Complexity Experiment
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