├── sample_image.jpg ├── duke_attribute.mat ├── CITATION_DukeMTMC-reID.txt ├── CITATION_DukeMTMC-attribute.txt ├── CITATION_DukeMTMC.txt ├── Copying ├── LICENSE_DukeMTMC.txt ├── LICENSE_DukeMTMC-attribute.txt └── README.md /sample_image.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/vana77/DukeMTMC-attribute/HEAD/sample_image.jpg -------------------------------------------------------------------------------- /duke_attribute.mat: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/vana77/DukeMTMC-attribute/HEAD/duke_attribute.mat -------------------------------------------------------------------------------- /CITATION_DukeMTMC-reID.txt: -------------------------------------------------------------------------------- 1 | @article{zheng2017unlabeled, 2 | title={Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro}, 3 | author={Zheng, Zhedong and Zheng, Liang and Yang, Yi}, 4 | journal={arXiv preprint arXiv:1701.07717}, 5 | year={2017} 6 | } 7 | -------------------------------------------------------------------------------- /CITATION_DukeMTMC-attribute.txt: -------------------------------------------------------------------------------- 1 | @article{lin2019improving, 2 | title={Improving Person Re-identification by Attribute and Identity Learning}, 3 | author={Lin, Yutian and Zheng, Liang and Zheng, Zhedong and Wu, Yu and Hu, Zhilan and Yan, Chenggang and Yang, Yi}, 4 | journal={Pattern Recognition}, 5 | doi = {https://doi.org/10.1016/j.patcog.2019.06.006}, 6 | year={2019} 7 | } 8 | -------------------------------------------------------------------------------- /CITATION_DukeMTMC.txt: -------------------------------------------------------------------------------- 1 | @inproceedings{ristani2016MTMC, 2 | title = {Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking}, 3 | author = {Ristani, Ergys and Solera, Francesco and Zou, Roger and Cucchiara, Rita and Tomasi, Carlo}, 4 | booktitle = {European Conference on Computer Vision workshop on Benchmarking Multi-Target Tracking}, 5 | year = {2016} 6 | } 7 | -------------------------------------------------------------------------------- /Copying: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2017 Yutian Lin 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /LICENSE_DukeMTMC.txt: -------------------------------------------------------------------------------- 1 | ATTRIBUTION PROTOCOL 2 | 3 | If you use the DukeMTMC data or any data derived from it, please cite the original work as follows: 4 | 5 | @inproceedings{ristani2016MTMC, 6 | title = {Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking}, 7 | author = {Ristani, Ergys and Solera, Francesco and Zou, Roger and Cucchiara, Rita and Tomasi, Carlo}, 8 | booktitle = {European Conference on Computer Vision workshop on Benchmarking Multi-Target Tracking}, 9 | year = {2016} 10 | } 11 | 12 | and include this license and attribution protocol within any derivative work. 13 | 14 | If you publish data derived from DukeMTMC, the original dataset creators should first be notified. 15 | Any future dataset derived from DukeMTMC should include "DukeMTMC" in the title, as well as link to the 16 | original project website (http://vision.cs.duke.edu/DukeMTMC/). 17 | 18 | The DukeMTMC dataset is made available under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license. (https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.txt) 19 | 20 | You are free to: 21 | 22 | Share — copy and redistribute the material in any medium or format 23 | Adapt — remix, transform, and build upon the material 24 | 25 | Under the following terms: 26 | 27 | Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. 28 | 29 | NonCommercial — You may not use the material for commercial purposes. 30 | 31 | ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original. 32 | 33 | No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits. 34 | -------------------------------------------------------------------------------- /LICENSE_DukeMTMC-attribute.txt: -------------------------------------------------------------------------------- 1 | ATTRIBUTION PROTOCOL 2 | 3 | If you use the DukeMTMC-attribute data or any data derived from it, please cite the original work as follows: 4 | 5 | @article{lin2017improving, 6 | title={Improving Person Re-identification by Attribute and Identity Learning}, 7 | author={lin, Yutian and Zheng, Liang and Zheng, Zhedong and, Wu Yu and, Yang, Yi}, 8 | journal={arXiv preprint arXiv:1703.07220}, 9 | year={2017} 10 | } 11 | 12 | and include this license and attribution protocol within any derivative work. 13 | 14 | If you use the DukeMTMC data or any data derived from it, please cite the original work as follows: 15 | 16 | @inproceedings{ristani2016MTMC, 17 | title = {Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking}, 18 | author = {Ristani, Ergys and Solera, Francesco and Zou, Roger and Cucchiara, Rita and Tomasi, Carlo}, 19 | booktitle = {European Conference on Computer Vision workshop on Benchmarking Multi-Target Tracking}, 20 | year = {2016} 21 | } 22 | 23 | and include this license and attribution protocol within any derivative work. 24 | 25 | If you publish data derived from DukeMTMC, the original dataset creators should first be notified. 26 | Any future dataset derived from DukeMTMC should include "DukeMTMC" in the title, as well as link to the 27 | original project website (http://vision.cs.duke.edu/DukeMTMC/). 28 | 29 | The DukeMTMC dataset is made available under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license. (https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.txt) 30 | 31 | You are free to: 32 | 33 | Share — copy and redistribute the material in any medium or format 34 | Adapt — remix, transform, and build upon the material 35 | 36 | Under the following terms: 37 | 38 | Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. 39 | 40 | NonCommercial — You may not use the material for commercial purposes. 41 | 42 | ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original. 43 | 44 | No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits. 45 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # DukeMTMC-attribute 2 | 3 | ## About dataset 4 | 5 | We annotate 23 attributes for [DukeMTMC-reID](https://github.com/layumi/DukeMTMC-reID_evaluation), 6 | which is a subset of the [DukeMTMC](http://vision.cs.duke.edu/DukeMTMC/). 7 | The original dataset contains 702 identities for training and 1110 identities for testing. 8 | The attributes are annotated in the identity level, thus the file contains 24 x 702 attributes for training and 24 x 1110 for test, where the label "image_index" denotes the identity. 9 | The annotations are contained in the file duke_attribute.mat. 10 | 11 | 12 | The 23 attributes are: 13 | 14 | | attribute | representation in file | label | 15 | | :----: | :----: | :----: | 16 | | gender | gender | male(1), female(2) | 17 | | length of upper-body clothing | top | short upper body clothing(1), long(2) | 18 | | wearing boots| boots| no(1), yes(2) | 19 | | wearing hat| hat | no(1), yes(2) | 20 | | carrying backpack| backpack | no(1), yes(2) | 21 | | carrying bag| bag | no(1), yes(2) | 22 | | carrying handbag| handbag | no(1), yes(2) | 23 | | color of shoes| shoes | dark(1), light(2) | 24 | | 8 color of upper-body clothing| upblack, upwhite, upred, uppurple, upgray, upblue, upgreen, upbrown | no(1), yes(2) | 25 | | 7 color of lower-body clothing| downblack, downwhite, downred, downgray, downblue, downgreen, downbrown | no(1), yes(2) | 26 | 27 | Note that the though there are 7 and 8 attributes for lower-body clothing and upper-body clothing, only one color is labeled as yes (2) for an identity. 28 | 29 | ## Sample 30 | 31 | ![](sample_image.jpg) 32 | 33 | ## Evaluation 34 | To evaluate, please repfer to the code [here](https://github.com/vana77/Market-1501_Attribute) 35 | 36 | 37 | ## Citation 38 | 39 | DukeMTMC Dataset [Bibtex](https://raw.githubusercontent.com/vana77/DukeMTMC-attribute/master/CITATION_DukeMTMC.txt) 40 | 41 | DukeMTMC-reID Protocol, Baseline [Bibtex](https://raw.githubusercontent.com/vana77/DukeMTMC-attribute/master/CITATION_DukeMTMC-reID.txt) 42 | 43 | DukeMTMC-attribute [Bibtex](https://raw.githubusercontent.com/vana77/DukeMTMC-attribute/master/CITATION_DukeMTMC-attribute.txt) 44 | 45 | ## Dataset Licence 46 | Please follow the [LICENSE_DukeMTMC-attribute](https://github.com/vana77/DukeMTMC-attribute/blob/master/LICENSE_DukeMTMC-attribute.txt). You are free to share, create and adapt the DukeMTMC-reID dataset, in the manner specified in the license. 47 | 48 | We also include the [LICENSE_DukeMTMC](https://github.com/vana77/DukeMTMC-attribute/blob/master/LICENSE_DukeMTMC.txt). If you want to share, create and adapt the DukeMTMC dataset, please follow this license. 49 | 50 | The DukeMTMC-attribute evaluation code is under the MIT License. 51 | 52 | ## Acknowledgement 53 | 54 | We thank Dr. Gao for annotating part of the dataset. 55 | --------------------------------------------------------------------------------