CloPeMa Clothes

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data archive 5 disk0/00/00/02/70 2016-02-12 14:00:54 2026-03-09 09:45:22 2016-05-16 09:58:50 data_collection show Sun Li Aragon-Camarasa Gerardo glaresearchdata:2016-03-14-270 CloPeMa Clothes pub 30200000 Data underpinning conference presentation: Recognising the Clothing Categories from Free-Configuration using Gaussian-Process-Based Interactive Perception", International Conference on Robotics and Automation, Stockholm, Sweden. 16th-21st May 2016. 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. 2016-03-14 published University of Glasgow 10.5525/gla.researchdata.270 Image University of Glasgow 57150 1 CloPeMa: Clothes Perception and Manipulation Jan Siebert European Commission (EC) 288553 COM - COMPUTING SCIENCE FALSE en 2036-02-29 R 2026-03-09 AA Original retention date 2026-03-14. Extended to 10 years from date of last access. FALSE FALSE Continuous perception for deformable objects understanding https://eprints.gla.ac.uk/id/eprint/187631