Nexdata/3D_Instance_Segmentation_and_22_Landmarks_Annotation_Data_of_Human_Body

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# Dataset Card for Nexdata/3D_Instance_Segmentation_and_22_Landmarks_Annotation_Data_of_Human_Body

## 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/1040?source=Huggingface
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**

### Dataset Summary

18,880 Images of 466 People - 3D Instance Segmentation and 22 Landmarks Annotation Data of Human Body. The dataset diversity includes multiple scenes, light conditions, ages, shooting angles, and poses. In terms of annotation, we adpoted instance segmentation annotations on human body. 22 landmarks were also annotated for each human body. The dataset can be used for tasks such as human body instance segmentation and human behavior recognition.

For more details, please refer to the link: https://www.nexdata.ai/datasets/1040?source=Huggingface

### Supported Tasks and Leaderboards

instance-segmentation, computer-vision,image-segmentation: The dataset can be used to train a model for computer vision.

### 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

• 内容: 包含18,880张图像，涉及466人，用于3D实例分割和人体22个地标标注。
• 多样性: 涵盖多种场景、光照条件、年龄、拍摄角度和姿势。
• 标注: 采用实例分割标注人体，并为每个人体标注22个地标。
• 应用: 适用于人体实例分割和人类行为识别等任务。

支持的任务和排行榜

• 任务: 实例分割、计算机视觉、图像分割。
• 用途: 用于训练计算机视觉模型。

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

来源数据

• 初始数据收集和标准化: 待补充。
• 源语言生产者: 待补充。

标注

• 标注过程: 待补充。
• 标注者: 待补充。

个人和敏感信息

• 信息: 待补充。

使用数据的考虑

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。

许可证信息

• 许可证: 商业许可证，详情见链接: 商业许可证。

引用信息

• 信息: 待补充。

贡献

• 信息: 待补充。