Optical Illusion Dataset Images
Optical Illusion Dataset Images
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Author(s): Robert Max Williams, Roman V. YampolskiySubject(s): Media studies, Visual Arts, Archiving, Electronic information storage and retrieval
Published by: INSAM Institut za savremenu umjetničku muziku
Keywords: computer vision;optical illusions;human vision;machine learning;neural networks;cognition;
Summary/Abstract: Human vision is capable of performing many tasks not optimized for during its long evolution. Reading text and identifying artificial objects such as road signs are both tasks that mammalian brains never encountered in the wild but are very easy for us to perform. However, humans have discovered many very specific tricks or illusions that cause us to misjudge the color, size, alignment, and movement of what we are looking at. A better understanding of these phenomenon could reveal insights into how human perception achieves these extraordinary feats. In this paper we present a dataset of 6,725 illusion images gathered from two websites, and a smaller dataset of 500 hand-picked images. We will discuss the process of collecting this data, models trained on the data, and the work that needs to be done to make this information of value to computer vision researchers.
Journal: INSAM Journal of Contemporary Music, Art and Technology
- Issue Year: 2019
- Issue No: 2
- Page Range: 127-139
- Page Count: 13
- Language: English