Nexdata/Multi-race_and_Multi-pose_Face_Images_Data

---
YAML tags:
- copy-paste the tags obtained with the tagging app: https://github.com/huggingface/datasets-tagging
---

# Dataset Card for Nexdata/Multi-race_and_Multi-pose_Face_Images_Data

## 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://www.nexdata.ai/datasets/1016?source=Huggingface
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**

### Dataset Summary

23,110 People Multi-race and Multi-pose Face Images Data. This data includes Asian race, Caucasian race, black race, brown race and Indians. Each subject were collected 29 images under different scenes and light conditions. The 29 images include 28 photos (multi light conditions, multiple poses and multiple scenes) + 1 ID photo. This data can be used for face recognition related tasks.

For more details, please refer to the link: https://www.nexdata.ai/datasets/1016?source=Huggingface

### Supported Tasks and Leaderboards

face-detection, computer-vision: The dataset can be used to train a model for face detection.

### Languages

English
## Dataset Structure

### Data Instances

[More Information Needed]

### Data Fields

[More Information Needed]

### 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

Commerical License: https://drive.google.com/file/d/1saDCPm74D4UWfBL17VbkTsZLGfpOQj1J/view?usp=sharing

### Citation Information

[More Information Needed]

### Contributions

原始信息汇总

数据集概述

数据集描述

数据集总结

• 数据集名称: Nexdata/Multi-race_and_Multi-pose_Face_Images_Data
• 数据量: 包含23,110人的多种族和多姿态面部图像数据
• 种族组成: 亚洲人、高加索人、黑人、棕色人种和印度人
• 图像详情: 每个对象收集29张图像，包括28张不同光照条件、多姿态和多场景的照片以及1张身份证照片
• 应用领域: 适用于面部识别相关任务

支持的任务和排行榜

• 任务: 面部检测、计算机视觉
• 用途: 用于训练面部检测模型

语言

• 语言: 英语

数据集结构

数据实例

• 信息: 待补充

数据字段

• 信息: 待补充

数据分割

• 信息: 待补充

数据集创建

数据筛选理由

• 信息: 待补充

源数据

初始数据收集和标准化

• 信息: 待补充

源语言生产者

• 信息: 待补充

注释

注释过程

• 信息: 待补充

注释者

• 信息: 待补充

个人和敏感信息

• 信息: 待补充

使用数据的考虑因素

数据集的社会影响

• 信息: 待补充

偏见的讨论

• 信息: 待补充

其他已知限制

• 信息: 待补充

附加信息

数据集管理者

• 信息: 待补充

许可信息

• 许可类型: 商业许可
• 许可链接: https://drive.google.com/file/d/1saDCPm74D4UWfBL17VbkTsZLGfpOQj1J/view?usp=sharing

引用信息

• 信息: 待补充