---
title: AI_Challenger
canonical_url: "https://www.modelscope.cn/datasets/OmniData/AI_Challenger"
md_url: "https://www.modelscope.cn/datasets/OmniData/AI_Challenger.md"
repository: OmniData/AI_Challenger
last_updated: 2024-07-15
license: "[Unknown]"
storage_size: "34 GB"
domain:
  - publishDate
  - displayName
  - taskTypes
  - paperUrl
  - publishUrl
  - mediaTypes
  - publisher
  - labelTypes
tasks:
  - 2017-09-26
  - "AI Challenger 2017"
  - "Attribute based Zero-shot Image Classification"
  - "https://arxiv.org/pdf/1711.06475.pdf"
  - "https://github.com/AIChallenger/AI_Challenger_2017"
  - Image
  - "School of Data Science, Fudan University"
  - Text
downloads: 15922
stars: 0
---

# AI_Challenger

> AI_Challenger - OmniData 在 ModelScope 开源的数据集。displayName: AI Challenger 2017 labelTypes: Box2D Keypoints2D Text license: Unknown mediaTypes: Image paperUrl: https://arxiv.org/pdf/1711.06475.pdf publishDate: "2017-09-26" publishUrl:…

OmniData/AI_Challenger 是 ModelScope 魔搭社区上的2017-09-26、AI Challenger 2017、Attribute based Zero-shot Image Classification数据集，涉及 publishDate、displayName、taskTypes 领域，存储大小 34 GB，采用 [Unknown] 许可。

- **Repository**: OmniData/AI_Challenger
- **License**: [Unknown]
- **Tasks**: 2017-09-26, AI Challenger 2017, Attribute based Zero-shot Image Classification, https://arxiv.org/pdf/1711.06475.pdf, https://github.com/AIChallenger/AI_Challenger_2017, Image, School of Data Science, Fudan University, Text
- **Domain**: publishDate, displayName, taskTypes, paperUrl, publishUrl, mediaTypes, publisher, labelTypes
- **Storage size**: 34 GB
- **Downloads**: 15922
- **Stars**: 0
- **Last updated**: 2024-07-15

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

---

displayName: AI Challenger 2017
labelTypes:
- Box2D
- Keypoints2D
- Text
license:
- Unknown
mediaTypes:
- Image
paperUrl: https://arxiv.org/pdf/1711.06475.pdf
publishDate: "2017-09-26"
publishUrl: https://github.com/AIChallenger/AI_Challenger_2017
publisher:
- Peking University
- University of Chinese Academy of Sciences
- Sinovation Ventures
- School of Data Science, Fudan University
tags: []
taskTypes:
- Keypoint Detection
- Image Caption
- Attribute based Zero-shot Image Classification

---
# 数据集介绍
  ## 简介
  一个名为 AIC（AI Challenger）的大规模数据集，包含三个子数据集，人类关键点检测（HKD）、大规模属性数据集（LAD）和图像中文字幕（ICC）。在这个数据集中，我们标注了类标签（LAD）、关键点坐标（HKD）、边界框（HKD和LAD）、属性（LAD）和标题（ICC）。这些丰富的注释弥合了低级图像和高级概念之间的语义鸿沟。所提出的数据集是评估和改进不同计算方法的有效基准。此外，对于相关任务，其他人也可以使用我们的数据集作为新资源来预训练他们的模型。
  ## 类定义
  ```
person
```
  ## 引文
  ```
@article{wu2017ai,
  title={Ai challenger: A large-scale dataset for going deeper in image understanding},
  author={Wu, Jiahong and Zheng, He and Zhao, Bo and Li, Yixin and Yan, Baoming and Liang, Rui and Wang, Wenjia and Zhou, Shipei and Lin, Guosen and Fu, Yanwei and others},
  journal={arXiv preprint arXiv:1711.06475},
  year={2017}
}
```
  
## Download dataset
:modelscope-code[]{type="git"}