Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Optical Illusions Images Dataset   Human vision is capable of performing many tasks not optimized for in 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 that cause us to misjudge 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 feats. In this paper
we present a dataset of 6725 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 it, and the work that needs to be done
to make it of value to computer vision researchers.

37
The categories of this paper are: supr-con
12
The categories of this paper are: nucl-th
24
The categories of this paper are: dg-ga
2
The categories of this paper are: math
27
The categories of this paper are: comp-gas
22
The categories of this paper are: chao-dyn
6
The categories of this paper are: astro-ph
3
The categories of this paper are: physics
16
The categories of this paper are: stat
23
The categories of this paper are: solv-int
9
The categories of this paper are: nlin
35
The categories of this paper are: mtrl-th
8
The categories of this paper are: hep-ex
4
The categories of this paper are: cond-mat
28
The categories of this paper are: alg-geom
32
The categories of this paper are: atom-ph