A toolbox and sample object perception data for equalization of natural images

For psychologists and neuroscientists, careful selection of their stimuli is essential, so that low-level visual features such as color or spatial frequency do not serve as confounds between conditions of interest. Here, we detail the Natural Image Statistical Toolbox, which allows scientists to mea...

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Bibliographic Details
Main Authors: Wilma A. Bainbridge, Aude Oliva
Format: Article
Language:English
Published: Elsevier 2015-12-01
Series:Data in Brief
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340915002784
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spelling doaj-062ec6e84e614789919a911cdbdab66f2020-11-25T02:29:30ZengElsevierData in Brief2352-34092015-12-015C84685110.1016/j.dib.2015.10.030A toolbox and sample object perception data for equalization of natural imagesWilma A. Bainbridge0Aude Oliva1The Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, United StatesComputer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, United StatesFor psychologists and neuroscientists, careful selection of their stimuli is essential, so that low-level visual features such as color or spatial frequency do not serve as confounds between conditions of interest. Here, we detail the Natural Image Statistical Toolbox, which allows scientists to measure, visualize, and control stimulus sets along a set of low-level visual properties. Additionally, we provide a set of object images varying along several perceptual object properties, including physical size and interaction envelope size (i.e., the space around an object transversed during an interaction), serving as a test-bed for the Natural Image Statistical Toolbox. This stimulus set is also a highly characterized set useful to psychology and neuroscience studies on object perception.http://www.sciencedirect.com/science/article/pii/S2352340915002784Natural image statisticsSpatial frequencyObject interaction envelopeObject perception
collection DOAJ
language English
format Article
sources DOAJ
author Wilma A. Bainbridge
Aude Oliva
spellingShingle Wilma A. Bainbridge
Aude Oliva
A toolbox and sample object perception data for equalization of natural images
Data in Brief
Natural image statistics
Spatial frequency
Object interaction envelope
Object perception
author_facet Wilma A. Bainbridge
Aude Oliva
author_sort Wilma A. Bainbridge
title A toolbox and sample object perception data for equalization of natural images
title_short A toolbox and sample object perception data for equalization of natural images
title_full A toolbox and sample object perception data for equalization of natural images
title_fullStr A toolbox and sample object perception data for equalization of natural images
title_full_unstemmed A toolbox and sample object perception data for equalization of natural images
title_sort toolbox and sample object perception data for equalization of natural images
publisher Elsevier
series Data in Brief
issn 2352-3409
publishDate 2015-12-01
description For psychologists and neuroscientists, careful selection of their stimuli is essential, so that low-level visual features such as color or spatial frequency do not serve as confounds between conditions of interest. Here, we detail the Natural Image Statistical Toolbox, which allows scientists to measure, visualize, and control stimulus sets along a set of low-level visual properties. Additionally, we provide a set of object images varying along several perceptual object properties, including physical size and interaction envelope size (i.e., the space around an object transversed during an interaction), serving as a test-bed for the Natural Image Statistical Toolbox. This stimulus set is also a highly characterized set useful to psychology and neuroscience studies on object perception.
topic Natural image statistics
Spatial frequency
Object interaction envelope
Object perception
url http://www.sciencedirect.com/science/article/pii/S2352340915002784
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