CloPeMa Clothes

Sun, L. and Aragon-Camarasa, G. (2016) CloPeMa Clothes. [Data Collection]

Collection description

In order to provide benchmarking data for clothes material/category recognition in free con-figurations , we captured a high quality RGBD clothing dataset using a stereo head system. In our dataset,there are 50 items of clothing from 5 categories: t-shits, shirts, sweaters, jeans and towels, of which the material types are: cotton, jaconet, wool, denim, coarse cotton, respectively. Each item of clothing is captured in 21 different random configurations, resulting in a total of 1050 configurations. For each configuration the RGB image, depth map and the segmented mask are provided – both the RGB and depth data are 4 mega-pixels, 3264×4928. This is the first high-resolution free-configuration clothing dataset.

College / School: College of Science and Engineering > School of Computing Science
Date Deposited: 12 Feb 2016 14:00
Retention date: 14 March 2026
Funder's Name: European Commission (EC)
URI: http://researchdata.gla.ac.uk/id/eprint/270

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Sun, L. and Aragon-Camarasa, G. (2016); CloPeMa Clothes

University of Glasgow

10.5525/gla.researchdata.270

Retrieved: 2017-11-22

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