FairFace

# Dataset Card for FairFace

## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
- [Curation Rationale](#curation-rationale)
- [Source Data](#source-data)
- [Annotations](#annotations)
- [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
- [Social Impact of Dataset](#social-impact-of-dataset)
- [Discussion of Biases](#discussion-of-biases)
- [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
- [Dataset Curators](#dataset-curators)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)
- [Contributions](#contributions)

## Dataset Description

- **Homepage:** [https://github.com/joojs/fairface](https://github.com/joojs/fairface)
- **Repository:** [https://github.com/joojs/fairface](https://github.com/joojs/fairface)
- **Paper:** [https://openaccess.thecvf.com/content/WACV2021/papers/Karkkainen_FairFace_Face_Attribute_Dataset_for_Balanced_Race_Gender_and_Age_WACV_2021_paper.pdf](https://openaccess.thecvf.com/content/WACV2021/papers/Karkkainen_FairFace_Face_Attribute_Dataset_for_Balanced_Race_Gender_and_Age_WACV_2021_paper.pdf)
- **Leaderboard:**
- **Point of Contact:**

### Dataset Summary

FairFace is a face image dataset which is race balanced. It contains 108,501 images from 7 different race groups: White, Black, Indian, East Asian, Southeast Asian, Middle Eastern, and Latino.
Images were collected from the YFCC-100M Flickr dataset and labeled with race, gender, and age groups.

### Supported Tasks and Leaderboards

[More Information Needed]

### Languages

[More Information Needed]

## Dataset Structure

### Data Instances

Each instance has the following structure:
```
{
'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=448x448 at 0x7FCABA221FA0>,
'age': 6,
'gender': 0,
'race': 0,
'service_test': True
}
```

### Data Fields

- `image`: The image
- `age`: Age class among `["0-2", "3-9", "10-19", "20-29", "30-39", "40-49", "50-59", "60-69", "more than 70"]`
- `gender`: Gender class among `["Male", "Female"]`
- `race`: Race class among `["East Asian", "Indian", "Black", "White", "Middle Eastern", "Latino_Hispanic", "Southeast Asian"]`
- `service_test`: Not sure what this is. See [issue](https://github.com/joojs/fairface/issues/9).

### Data Splits

[More Information Needed]

## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed]

#### Who are the source language producers?

[More Information Needed]

### Annotations

#### Annotation process

[More Information Needed]

#### Who are the annotators?

[More Information Needed]

### Personal and Sensitive Information

[More Information Needed]

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed]

### Discussion of Biases

[More Information Needed]

### Other Known Limitations

[More Information Needed]

## Additional Information

### Dataset Curators

[More Information Needed]

### Licensing Information

[More Information Needed]

### Citation Information

[More Information Needed]

### Contributions

Thanks to [@VictorSanh](https://github.com/VictorSanh) for adding this dataset.

# FairFace 数据集卡片

## 目录
- [目录](#table-of-contents)
- [数据集描述](#dataset-description)
- [数据集概述](#dataset-summary)
- [支持任务与排行榜](#supported-tasks-and-leaderboards)
- [语言](#languages)
- [数据集结构](#dataset-structure)
- [数据实例](#data-instances)
- [数据字段](#data-fields)
- [数据划分](#data-splits)
- [数据集构建](#dataset-creation)
- [构建初衷](#curation-rationale)
- [源数据](#source-data)
- [标注信息](#annotations)
- [个人与敏感信息](#personal-and-sensitive-information)
- [数据集使用注意事项](#considerations-for-using-the-data)
- [数据集的社会影响](#social-impact-of-dataset)
- [偏差讨论](#discussion-of-biases)
- [其他已知局限性](#other-known-limitations)
- [附加信息](#additional-information)
- [数据集维护者](#dataset-curators)
- [许可信息](#licensing-information)
- [引用信息](#citation-information)
- [贡献声明](#contributions)

## 数据集描述

- **主页:** [https://github.com/joojs/fairface](https://github.com/joojs/fairface)
- **代码仓库:** [https://github.com/joojs/fairface](https://github.com/joojs/fairface)
- **相关论文:** [https://openaccess.thecvf.com/content/WACV2021/papers/Karkkainen_FairFace_Face_Attribute_Dataset_for_Balanced_Race_Gender_and_Age_WACV_2021_paper.pdf](https://openaccess.thecvf.com/content/WACV2021/papers/Karkkainen_FairFace_Face_Attribute_Dataset_for_Balanced_Race_Gender_and_Age_WACV_2021_paper.pdf)
- **排行榜:**
- **联系人:**

### 数据集概述
FairFace 是一个种族均衡的人脸图像数据集，包含来自7个不同种族群体的108501张图像，分别为白人（White）、黑人（Black）、印度裔（Indian）、东亚人（East Asian）、东南亚人（Southeast Asian）、中东人（Middle Eastern）以及拉丁裔（Latino）。所有图像采集自YFCC-100M Flickr数据集，并标注了种族、性别与年龄群体信息。

### 支持任务与排行榜
[需补充更多信息]

### 语言
[需补充更多信息]

## 数据集结构

### 数据实例
每个数据实例的结构如下：

{
'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=448x448 at 0x7FCABA221FA0>,
'age': 6,
'gender': 0,
'race': 0,
'service_test': True
}

### 数据字段
- `image`: 人脸图像
- `age`: 年龄类别，可选值为`["0-2岁", "3-9岁", "10-19岁", "20-29岁", "30-39岁", "40-49岁", "50-59岁", "60-69岁", "70岁以上"]`
- `gender`: 性别类别，可选值为`["男性", "女性"]`
- `race`: 种族类别，可选值为`["东亚人（East Asian）", "印度裔（Indian）", "黑人（Black）", "白人（White）", "中东人（Middle Eastern）", "拉丁裔西班牙裔（Latino_Hispanic）", "东南亚人（Southeast Asian）"]`
- `service_test`: 暂不确定该字段具体含义，详见[相关议题](https://github.com/joojs/fairface/issues/9)

### 数据划分
[需补充更多信息]

## 数据集构建

### 构建初衷
[需补充更多信息]

### 源数据
#### 初始数据采集与归一化
[需补充更多信息]

#### 源数据生产者
[需补充更多信息]

### 标注信息
#### 标注流程
[需补充更多信息]

#### 标注人员
[需补充更多信息]

### 个人与敏感信息
[需补充更多信息]

## 数据集使用注意事项

### 数据集的社会影响
[需补充更多信息]

### 偏差讨论
[需补充更多信息]

### 其他已知局限性
[需补充更多信息]

## 附加信息

### 数据集维护者
[需补充更多信息]

### 许可信息
[需补充更多信息]

### 引用信息
[需补充更多信息]

### 贡献声明
感谢[@VictorSanh](https://github.com/VictorSanh) 为本数据集的添加工作提供贡献。

搜集汇总

背景与挑战

背景概述

FairFace是一个种族平衡的人脸图像数据集，包含108,501张来自7个不同种族群体的图像，每张图像标注了种族、性别和年龄组信息。该数据集旨在提供多样化的面部数据，适用于人脸识别和相关研究。