# TinyBenchmark

**Repository Path**: aqiudream/TinyBenchmark

## Basic Information

- **Project Name**: TinyBenchmark
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2026-04-10
- **Last Updated**: 2026-04-10

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Scale Match for Tiny Person Detection

------------------------
[[paper]](http://openaccess.thecvf.com/content_WACV_2020/papers/Yu_Scale_Match_for_Tiny_Person_Detection_WACV_2020_paper.pdf) [[ECCVW]](https://rlq-tod.github.io/challenge1.html)
[[challenge]](https://competitions.codalab.org/competitions/24551)
[[ECCVW sumarry]](https://arxiv.org/abs/2009.07506)
 
## News
- The **mmdetection** version of TinyBenchmark refers to [TOV_mmdetection](https://github.com/ucas-vg/TOV_mmdetection)
We encourage to using [mmdetection version](https://github.com/ucas-vg/TOV_mmdetection). This Poject will not support new features.

## Dataset

`The annotaions of test set have released aready !!!` [Baidu Yun, password:pmcq](https://pan.baidu.com/s/1kkugS6y2vT4IrmEV_2wtmQ) and [Google Driver](https://drive.google.com/open?id=1KrH9uEC9q4RdKJz-k34Q6v5hRewU5HOw) <br/>
For how to use the test_set annotation to evaluate, please see [Evaluation](https://github.com/ucas-vg/TinyBenchmark/blob/master/tiny_benchmark/README.md#evaluation-)


### TinyPerson Dataset

The dataset will be used to for ECCV2020 workshop [RLQ-TOD'20 @ ECCV](https://rlq-tod.github.io/challenge1.html), [TOD challenge](https://competitions.codalab.org/competitions/24551)

#### Download link:
[Official Site](http://vision.ucas.ac.cn/resource.asp): recomended, download may faster<br/>
[Baidu Pan](https://pan.baidu.com/s/1kkugS6y2vT4IrmEV_2wtmQ)   password: pmcq<br/>
[Google Driver](https://drive.google.com/open?id=1KrH9uEC9q4RdKJz-k34Q6v5hRewU5HOw)<br/>

For more details about TinyPerson dataset, please see [Dataset](dataset/).

![](figure/annotation_rule.jpg)

### Tiny Citypersons
[Baidu Pan](https://pan.baidu.com/s/1CvEUuLKK6AFHpEZAjkS6fg) password：vwq2<br/>

## Tiny Benchmark
The benchmark is based on [maskrcnn_benchmark](https://github.com/facebookresearch/maskrcnn-benchmark) and [citypersons code](https://bitbucket.org/shanshanzhang/citypersons/src/default/evaluation/).

For more details about the benchmark, please see [Tiny Benchmark](tiny_benchmark/).

## Scale Match

![](figure/scale_match.jpg)

## Citation

If you use the code and benchmark in your research, please cite:
```
@inproceedings{yu2020scale,
  title={Scale Match for Tiny Person Detection},
  author={Yu, Xuehui and Gong, Yuqi and Jiang, Nan and Ye, Qixiang and Han, Zhenjun},
  booktitle={The IEEE Winter Conference on Applications of Computer Vision},
  pages={1257--1265},
  year={2020}
}
```
And if the ECCVW challenge sumarry do some help for your research, please cite:
```
@article{yu20201st,
  title={The 1st Tiny Object Detection Challenge: Methods and Results},
  author={Yu, Xuehui and Han, Zhenjun and Gong, Yuqi and Jan, Nan and Zhao, Jian and Ye, Qixiang and Chen, Jie and Feng, Yuan and Zhang, Bin and Wang, Xiaodi and others},
  journal={arXiv preprint arXiv:2009.07506},
  year={2020}
}
```