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Market-1501-attribute

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Market-1501-attribute is a dataset that annotates 27 attributes for Market-1501 dataset. The Market-1501 dataset contains 751 identities for training and 750 identities for testing. The attributes are annotated in the identity level, thus the file contains 27 x 751 attributes for training and 27 x 750 attributesfor test.

The 27 attributes are:

  • gender
  • hair length
  • sleeve length
  • length of lower-body clothing
  • type of lower-body clothing
  • wearing hat
  • carrying backpack
  • carrying bag
  • carrying handbag
  • age
  • 8 color of upper-body clothing
  • 9 color of lower-body clothing

Related datasets

Related publications

  • Yutian Lin, Liang Zheng, Zhedong Zheng, Yu Wu, Yi Yang, "Improving Person Re-identification by Attribute and Identity Learning", arXiv preprint arXiv:1703.07220, 2017.

  • Liang Zheng, Liyue Shen, Lu Tian, Shengjin Wang, Jingdong Wang, Qi Tian, "Scalable Person Re-identification: A Benchmark", IEEE International Conference on Computer Vision (ICCV), 2015.