---
title: ATRW
canonical_url: "https://www.modelscope.cn/datasets/OmniData/ATRW"
md_url: "https://www.modelscope.cn/datasets/OmniData/ATRW.md"
repository: OmniData/ATRW
last_updated: 2024-07-04
license: "[CC BY-NC-SA 4.0]"
storage_size: "365 MB"
domain:
  - publishDate
  - displayName
  - paperUrl
  - publishUrl
  - publisher
  - labelTypes
  - taskTypes
tasks:
  - 2019-06-28
  - ATRW
  - "https://arxiv.org/pdf/1906.05586v5.pdf"
  - "https://cvwc2019.github.io/challenge.html"
  - Intel
  - Keypoints2D
  - "Object Detection"
downloads: 32
stars: 0
---

# ATRW

> ATRW - OmniData 在 ModelScope 开源的数据集。displayName: ATRW labelTypes: Box2D Keypoints2D license: CC BY-NC-SA 4.0 paperUrl: https://arxiv.org/pdf/1906.05586v5.pdf publishDate: "2019-06-28" publishUrl: https://cvwc2019.github.io/challenge.html publisher: Shanghai…

OmniData/ATRW 是 ModelScope 魔搭社区上的2019-06-28、ATRW、https://arxiv.org/pdf/1906.05586v5.pdf数据集，涉及 publishDate、displayName、paperUrl 领域，存储大小 365 MB，采用 [CC BY-NC-SA 4.0] 许可。

- **Repository**: OmniData/ATRW
- **License**: [CC BY-NC-SA 4.0]
- **Tasks**: 2019-06-28, ATRW, https://arxiv.org/pdf/1906.05586v5.pdf, https://cvwc2019.github.io/challenge.html, Intel, Keypoints2D, Object Detection
- **Domain**: publishDate, displayName, paperUrl, publishUrl, publisher, labelTypes, taskTypes
- **Storage size**: 365 MB
- **Downloads**: 32
- **Stars**: 0
- **Last updated**: 2024-07-04

Source: https://www.modelscope.cn/datasets/OmniData/ATRW

---

displayName: ATRW
labelTypes:
- Box2D
- Keypoints2D
license:
- CC BY-NC-SA 4.0
paperUrl: https://arxiv.org/pdf/1906.05586v5.pdf
publishDate: "2019-06-28"
publishUrl: https://cvwc2019.github.io/challenge.html
publisher:
- Shanghai Jiao Tong University
- Ant Group
- Intel
tags:
- Tiger
taskTypes:
- Keypoints 2D Detection
- Object Detection

---
# 数据集介绍
  ## 简介
  ATRW 数据集包含来自 92 只东北虎的 8,000 多个视频剪辑，包括边界框、姿势关键点和老虎身份注释。
  ## 引文
  ```
 @article{li2019atrw,
 title={ATRW: A benchmark for amur tiger re-identification in the wild},
 author={Li, Shuyuan and Li, Jianguo and Tang, Hanlin and Qian, Rui and Lin, Weiyao},
 journal={arXiv preprint arXiv:1906.05586},
 year={2019}
 }
 ```
  
## Download dataset
:modelscope-code[]{type="git"}