VISCHEMA-COMPLEXITY
Published: 28 October 2022| Version 1 | DOI: 10.17632/7943zgtsr7.1
Contributors:
Cameron Kyle-Davidson, , Description
A dataset for exploring two-dimensional scene complexity perception. One dataset (VISC-C) consists of 800 scene images with 800 corresponding complexity maps that reveal the regions of scenes that human observers find complex or simple. The other dataset (VISC-CI) examines complexity perception when the scenes are rotationally inverted, degrading the semantic content of the images. Both datasets also contain 800 complexity scores that sum up the overall complexity of the scene. Each dataset was gathered from 40 (disjoint) participants, with each scene image being viewed by 10 observers.
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Institutions
University of York
Categories
Psychology, Computer Science