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:
- hair length
- sleeve length
- length of lower-body clothing
- type of lower-body clothing
- wearing hat
- carrying backpack
- carrying bag
- carrying handbag
- 8 color of upper-body clothing
- 9 color of lower-body clothing
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.