Caltech-UCSD Birds 200

Caltech-UCSD Birds 200 (CUB-200) is a challenging image dataset annotated with 200 bird species (mostly North American).. It was created to enable the study of subordinate categorization, which is not possible with other popular datasets that focus on basic level categories (such as PASCAL VOC, Caltech-101, etc). The images were downloaded from the website Flickr and filtered by workers on Amazon Mechanical Turk. Each image is annotated with a bounding box, a rough bird segmentation, and a set of attribute labels.

• Number of categories: 200
• Number of images: 11,788
• Annotations per image: 15 Part Locations, 312 Binary Attributes, 1 Bounding Box

For detailed information about the dataset, please see the technical report and the dataset link.

2010

Welinder, Peter; Branson, Steve; Mita, Takeshi; Wah, Catherine; Schroff, Florian; Belongie, Serge; Perona, Pietro Caltech-UCSD Birds 200 Caltech (CNS-TR-201), 2010. (Links | BibTeX) @techreport{399, title = {Caltech-UCSD Birds 200}, author = {Peter Welinder and Steve Branson and Takeshi Mita and Catherine Wah and Florian Schroff and Serge Belongie and Pietro Perona}, url = {/se3/wp-content/uploads/2014/09/WelinderEtal10_CUB-200.pdf, http://www.vision.caltech.edu/visipedia/CUB-200.html}, year = {2010}, date = {2010-01-01}, number = {CNS-TR-201}, institution = {Caltech}, keywords = {} } Close WelinderEtal10_CUB-200.pdf http://www.vision.caltech.edu/visipedia/CUB-200.html Close