# Market-1501_Attribute

**Repository Path**: SearchSource/Market-1501_Attribute

## Basic Information

- **Project Name**: Market-1501_Attribute
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-10-03
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Market-1501_Attribute

The evaluation code will be added soon.

## About dataset
We annotate 27attributes for [Market-1501](http://zheng-lab.cecs.anu.edu.au/Project/project_reid.html). 
The original dataset contains 751 identities for training and 750 identities for testing. 
The attributes are annotated in the identity level, 
thus the file contains 28 x 751 attributes for training and 28 x 750 attributesfor test, where the label "image_index" denotes the identity. The annotations are contained in the file market_attribute.mat.

The 27 attributes are: 

| attribute | representation in file | label |
| :----: | :----: | :----: |
| gender | gender | male(1), female(2) |
| hair length | hair| short hair(1), long hair(2)    |
| sleeve length | up | long sleeve(1), short sleeve(2) |
| length of lower-body clothing | down | long lower body clothing(1), short(2)    |
| type of lower-body clothing| clothes| dress(1), pants(2)    |
| wearing hat| hat | no(1), yes(2) |
| carrying backpack| backpack | no(1), yes(2) |
| carrying bag| bag | no(1), yes(2) |
| carrying handbag| handbag | no(1), yes(2) |
| age| age | young(1), teenager(2), adult(3), old(4) |
| 8 color of upper-body clothing| upblack, upwhite, upred, uppurple, upyellow, upgray, upblue, upgreen | no(1), yes(2) |
| 9 color of lower-body clothing| downblack, downwhite, downpink, downpurple, downyellow, downgray, downblue, downgreen,downbrown | no(1), yes(2) |

Note that the though there are 8 and 9 attributes for upper-body clothing and lower-body clothing, only one color is labeled as yes (2) for an identity.

## Sample

![](sample_image.jpg)

## Evaluation

To evaluate, you need to predict the attributes for test data(i.e., 13115 x 12 matrix) and save them in advance. "gallery_market.mat" is one prediction example. Then download the code "evaluate_market_attribute.m" in this repository, change the image path and run it to evaluate.


## Citation

If you use this dataset in your research, please kindly cite our work as,
```
@article{lin2019improving,
  title={Improving Person Re-identification by Attribute and Identity Learning},
  author={Lin, Yutian and Zheng, Liang and Zheng, Zhedong and Wu, Yu and Hu, Zhilan and Yan, Chenggang and Yang, Yi},
  journal={Pattern Recognition},
  doi = {https://doi.org/10.1016/j.patcog.2019.06.006},
  year={2019}
}
```
Market-1501 Dataset:
```
@inproceedings{zheng2015scalable,
  title={Scalable person re-identification: A benchmark},
  author={Zheng, Liang and Shen, Liyue and Tian, Lu and Wang, Shengjin and Wang, Jingdong and Tian, Qi},
  booktitle={Proceedings of the IEEE International Conference on Computer Vision},
  year={2015}
}
```