Towards-Realtime-MOT/DATASET_ZOO.md

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# Dataset Zoo
We provide several relevant datasets for training and evaluating the Joint Detection and Embedding (JDE) model.
Annotations are provided in a unified format. If you want to use these datasets, please **follow their licenses**,
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and if you use these datasets in your research, please cite the original work (you can find the BibTeX in the bottom).
## Data Format
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All the dataset has the following structure:
```
Caltech
|——————images
| └——————00001.jpg
| |—————— ...
| └——————0000N.jpg
└——————labels_with_ids
└——————00001.txt
|—————— ...
└——————0000N.txt
```
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Every image corresponds to an annotation text. Given an image path,
the annotation text path can be easily generated by replacing the string `images` with `labels_with_ids` and replacing `.jpg` with `.txt`.
In the annotation text, each line is a bounding box and has the following format,
```
[class] [identity] [x_center] [y_center] [width] [height]
```
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The field `[class]` should be `0`. Only single-class multi-object tracking is supported in this version.
The field `[identity]` is an integer from `0` to `num_identities - 1`, or `-1` if this box has no identity annotation.
***Note** that the values of `[x_center] [y_center] [width] [height]` are normalized by the width/height of the image, so they are float numbers ranging from 0 to 1.
## Download
### Caltech Pedestrian
Baidu NetDisk:
[[0]](https://pan.baidu.com/s/1sYBXXvQaXZ8TuNwQxMcAgg)
[[1]](https://pan.baidu.com/s/1lVO7YBzagex1xlzqPksaPw)
[[2]](https://pan.baidu.com/s/1PZXxxy_lrswaqTVg0GuHWg)
[[3]](https://pan.baidu.com/s/1M93NCo_E6naeYPpykmaNgA)
[[4]](https://pan.baidu.com/s/1ZXCdPNXfwbxQ4xCbVu5Dtw)
[[5]](https://pan.baidu.com/s/1kcZkh1tcEiBEJqnDtYuejg)
[[6]](https://pan.baidu.com/s/1sDjhtgdFrzR60KKxSjNb2A)
[[7]](https://pan.baidu.com/s/18Zvp_d33qj1pmutFDUbJyw)
Google Drive: [[annotation]](https://drive.google.com/file/d/1h8vxl_6tgi9QVYoer9XcY9YwNB32TE5k/view?usp=sharing) ,
please download all the `.tar` file from [this page](http://www.vision.caltech.edu/Image_Datasets/CaltechPedestrians/datasets/USA/) and unzip the images under `Caltech/images`
Original dataset webpage: [CaltechPedestrians](http://www.vision.caltech.edu/Image_Datasets/CaltechPedestrians/)
### CityPersons
Baidu NetDisk:
[[0]](https://pan.baidu.com/s/1g24doGOdkKqmbgbJf03vsw)
[[1]](https://pan.baidu.com/s/1mqDF9M5MdD3MGxSfe0ENsA)
[[2]](https://pan.baidu.com/s/1Qrbh9lQUaEORCIlfI25wdA)
[[3]](https://pan.baidu.com/s/1lw7shaffBgARDuk8mkkHhw)
Google Drive:
[[0]](https://drive.google.com/file/d/1DgLHqEkQUOj63mCrS_0UGFEM9BG8sIZs/view?usp=sharing)
[[1]](https://drive.google.com/file/d/1BH9Xz59UImIGUdYwUR-cnP1g7Ton_LcZ/view?usp=sharing)
[[2]](https://drive.google.com/file/d/1q_OltirP68YFvRWgYkBHLEFSUayjkKYE/view?usp=sharing)
[[3]](https://drive.google.com/file/d/1VSL0SFoQxPXnIdBamOZJzHrHJ1N2gsTW/view?usp=sharing)
Original dataset webpage: [Citypersons pedestrian detection dataset](https://bitbucket.org/shanshanzhang/citypersons)
### CUHK-SYSU
Baidu NetDisk:
[[0]](https://pan.baidu.com/s/1YFrlyB1WjcQmFW3Vt_sEaQ)
Google Drive:
[[0]](https://drive.google.com/file/d/1D7VL43kIV9uJrdSCYl53j89RE2K-IoQA/view?usp=sharing)
Original dataset webpage: [CUHK-SYSU Person Search Dataset](http://www.ee.cuhk.edu.hk/~xgwang/PS/dataset.html)
### PRW
Baidu NetDisk:
[[0]](https://pan.baidu.com/s/1iqOVKO57dL53OI1KOmWeGQ)
Google Drive:
[[0]](https://drive.google.com/file/d/116_mIdjgB-WJXGe8RYJDWxlFnc_4sqS8/view?usp=sharing)
Original dataset webpage: [Person Search in the Wild datset](http://www.liangzheng.com.cn/Project/project_prw.html)
### ETHZ (overlapping videos with MOT-16 removed):
Baidu NetDisk:
[[0]](https://pan.baidu.com/s/14EauGb2nLrcB3GRSlQ4K9Q)
Google Drive:
[[0]](https://drive.google.com/file/d/19QyGOCqn8K_rc9TXJ8UwLSxCx17e0GoY/view?usp=sharing)
Original dataset webpage: [ETHZ pedestrian datset](https://data.vision.ee.ethz.ch/cvl/aess/dataset/)
### MOT-17
Baidu NetDisk:
[[0]](https://pan.baidu.com/s/1lHa6UagcosRBz-_Y308GvQ)
Google Drive:
[[0]](https://drive.google.com/file/d/1ET-6w12yHNo8DKevOVgK1dBlYs739e_3/view?usp=sharing)
Original dataset webpage: [MOT-17](https://motchallenge.net/data/MOT17/)
### MOT-16 (for evaluation )
Baidu NetDisk:
[[0]](https://pan.baidu.com/s/10pUuB32Hro-h-KUZv8duiw)
Google Drive:
[[0]](https://drive.google.com/file/d/1254q3ruzBzgn4LUejDVsCtT05SIEieQg/view?usp=sharing)
Original dataset webpage: [MOT-16](https://motchallenge.net/data/MOT16/)
# Citation
Caltech:
```
@inproceedings{ dollarCVPR09peds,
author = "P. Doll\'ar and C. Wojek and B. Schiele and P. Perona",
title = "Pedestrian Detection: A Benchmark",
booktitle = "CVPR",
month = "June",
year = "2009",
city = "Miami",
}
```
Citypersons:
```
@INPROCEEDINGS{Shanshan2017CVPR,
Author = {Shanshan Zhang and Rodrigo Benenson and Bernt Schiele},
Title = {CityPersons: A Diverse Dataset for Pedestrian Detection},
Booktitle = {CVPR},
Year = {2017}
}
@INPROCEEDINGS{Cordts2016Cityscapes,
title={The Cityscapes Dataset for Semantic Urban Scene Understanding},
author={Cordts, Marius and Omran, Mohamed and Ramos, Sebastian and Rehfeld, Timo and Enzweiler, Markus and Benenson, Rodrigo and Franke, Uwe and Roth, Stefan and Schiele, Bernt},
booktitle={Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year={2016}
}
```
CUHK-SYSU:
```
@inproceedings{xiaoli2017joint,
title={Joint Detection and Identification Feature Learning for Person Search},
author={Xiao, Tong and Li, Shuang and Wang, Bochao and Lin, Liang and Wang, Xiaogang},
booktitle={CVPR},
year={2017}
}
```
PRW:
```
@inproceedings{zheng2017person,
title={Person re-identification in the wild},
author={Zheng, Liang and Zhang, Hengheng and Sun, Shaoyan and Chandraker, Manmohan and Yang, Yi and Tian, Qi},
booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
pages={1367--1376},
year={2017}
}
```
ETHZ:
```
@InProceedings{eth_biwi_00534,
author = {A. Ess and B. Leibe and K. Schindler and and L. van Gool},
title = {A Mobile Vision System for Robust Multi-Person Tracking},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR'08)},
year = {2008},
month = {June},
publisher = {IEEE Press},
keywords = {}
}
```
MOT-16&17:
```
@article{milan2016mot16,
title={MOT16: A benchmark for multi-object tracking},
author={Milan, Anton and Leal-Taix{\'e}, Laura and Reid, Ian and Roth, Stefan and Schindler, Konrad},
journal={arXiv preprint arXiv:1603.00831},
year={2016}
}
```