@TechReport{Sushkov-TR-2014-16,
  IS = { zkontrolovano 02 Jan 2015 },
  UPDATE  = { 2014-10-27 },
  author =       {Sushkov, Roman and Melkumov, Ivan and Smutn{\'y},
                  Vladim{\'\i}r},
  title =        {Description of a dataset of garment folding photos},
  institution =  {Center for Machine Perception, K13133 FEE Czech Technical
                  University},
  address =      {Prague, Czech Republic},
  year =         {2014},
  month =        {September},
  type =         {Research Report},
  number =       {CTU--CMP--2014--16},
  issn =         {1213-2365},
  pages =        {16},
  figures =      {17},
  authorship =   {40-40-20},
  psurl =        {[Sushkov-TR-2014-16.pdf]},
  project =      {FP7-288553 CloPeMa},
  annote =       {This report describes a dataset of images obtained during
                  testing the algorithms developed in the Clothes Perception
                  and Manipulation project (CloPeMa). CloPeMa is a research
                  project which aims to advance the state of the art in the
                  autonomous perception and manipulation of fabrics, textiles
                  and garments. The dataset was obtained by repetitive
                  launching the folding process of a towel and T-shirts. In
                  total, 61 sets of images were gathered for T-shirts and 60
                  for a towel. Obtained images were manually annotated using
                  YAML data serialization standard for the subsequent
                  statistics acquiring. Annotated images should help to
                  improve and develop new folding algorithms.},
  keywords =     {robotics, computer vision, garment folding, image dataset},
}