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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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 |
work_keys_str_mv |
AT wilmaabainbridge atoolboxandsampleobjectperceptiondataforequalizationofnaturalimages AT audeoliva atoolboxandsampleobjectperceptiondataforequalizationofnaturalimages AT wilmaabainbridge toolboxandsampleobjectperceptiondataforequalizationofnaturalimages AT audeoliva toolboxandsampleobjectperceptiondataforequalizationofnaturalimages |
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