Animals

The original version of the following list of visual stimulus sets was compiled by Johanna Margret Sigurdardottir and will be updated as needed. We neither host nor do we provide copies of the stimuli. Researchers who may wish to use a particular stimulus set should seek further information, including on possible licences, e.g. by following the provided web links, reading the referenced papers, and/or emailing the listed contact person/persons for a particular stimulus set. If you notice an error, know of a stimulus set that should be included, or have any other questions or comments, please contact Heida Maria Sigurdardottir (heidasi(Replace this parenthesis with the @ sign)hi.is). The list is provided as is without any warranty whatsoever. 

These data sets contain various pictures of animals.

Animals with attributes

Description: This database contains “30475 pictures of animal classes with pre-extracted feature representations for each image. The animal classes are aligned with Osherson’s classical class, thereby providing 85 numeric attribute values for each class.”

License: Not known.

Link: http://attributes.kyb.tuebingen.mpg.de/

References:

Attribute based classification and the data is described in:

  1. C. H. Lampert, H. Nickisch, and S. Harmeling. “Learning To Detect Unseen Object Classes by Between-Class Attribute Transfer”. In CVPR, 2009 (pdf)
  2. C. H. Lampert, H. Nickisch, and S. Harmeling. “Attribute-Based Classification for Zero-Shot Visual Object Categorization”. IEEE T-PAMI, 2013 (pdf)

The class/attribute matrix was originally created by:

  1. D. N. Osherson, J. Stern, O. Wilkie, M. Stob, and E. E. Smith. “Default probability”. Cognitive Science, 15(2), 1991.
  2. C. Kemp, J. B. Tenenbaum, T. L. Griffiths, T. Yamada, and N. Ueda. “Learning systems of concepts with an infinite relational model”. In AAAI, 2006.

Animacy x size

Description: 120 pictures of animals. Each animal is shown isolated with a white background and not part of a scene. The pictures are split into two categories: small animals and large animals. Additionally, the set contains 120 images of objects. Each object is shown isolated with a white background. 60 of these objects are considered small in real-life and 60 are considered large.

License: Not known.

Link: http://konklab.fas.harvard.edu/#

Reference:  

Caramazza, A., Konkle, T. (2013). Tripartite Organization of the Ventral Stream by Animacy and Object Size. The Journal of Neuroscience, 33(25), 10235-10242.

https://dash.harvard.edu/bitstream/handle/1/12362624/1781465.pdf?sequence=1

Caltech-UCSD Birds-200-2011

Description: This database has 11788 pictures of birds from 200 species. All the birds are part of a scene.

License: see website.

Link: http://www.vision.caltech.edu/visipedia/CUB-200-2011.html

References:

Wah C., Branson S., Welinder P., Perona P., Belongie S. “The Caltech-UCSD Birds-200-2011 Dataset.” Computation & Neural Systems Technical Report, CNS-TR-2011-001. download pdf.  Researchers can find more articles where this dataset has been used by following the link above.

KTH-Animals

Description: This database has images of 19 living animal species outdoors. The images have been divided into foreground and background regions.  There are about 62 to over 100 images of each species.

License: Not known.

Link: http://www.csc.kth.se/~heydarma/Datasets.html

Reference: Heydar Maboudi Afkham, Alireza Tavakoli Tar ghi, Jan-oluf Eklundh, and Andrzej Pronobis. In Proceedings of the International Conference on Pattern Recognition (ICPR08), Tampa, FL, USA,
December 2008.