Shuai1995/TAD66K_for_Image_Aesthetics_Assessment

---
license: apache-2.0
task_categories:
- feature-extraction
tags:
- Image Aesthetics Assessment
- Image Quality Assessment
size_categories:
- 10K<n<100K
---
## Introduction
* We build a large-scale dataset called the Theme and Aesthetics Dataset with 66K images (TAD66K), which is specifically designed for IAA. Specifically, (1) it is a theme-oriented dataset containing 66K images covering 47 popular themes. All images were carefully selected by hand based on the theme. (2) In addition to common aesthetic criteria, we provide 47 criteria for the 47 themes. Images of each theme are annotated independently, and each image contains at least 1200 effective annotations (so far the richest annotations). These high-quality annotations could help to provide deeper insight into the performance of models.


<div align="center">


</div>

## If you find our work is useful, pleaes cite our paper:
```
@article{herethinking,
title={Rethinking Image Aesthetics Assessment: Models, Datasets and Benchmarks},
author={He, Shuai and Zhang, Yongchang and Xie, Rui and Jiang, Dongxiang and Ming, Anlong},
journal={IJCAI},
year={2022},
}
```

原始信息汇总

数据集概述

基本信息

• 许可证: Apache-2.0
• 任务类别: 特征提取
• 标签:
  • 图像美学评估
  • 图像质量评估
• 大小类别: 10K<n<100K

数据集详情

• 名称: Theme and Aesthetics Dataset (TAD66K)
• 规模: 包含66,000张图像
• 特点:
  • 主题导向：涵盖47个流行主题，所有图像均手工挑选以符合主题。
  • 美学标准：除通用美学标准外，提供47个针对各主题的特定标准。
  • 注释丰富：每张图像至少包含1200个有效注释，是目前注释最丰富的数据集之一。

引用信息

若使用此数据集，请引用以下论文：

@article{herethinking, title={Rethinking Image Aesthetics Assessment: Models, Datasets and Benchmarks}, author={He, Shuai and Zhang, Yongchang and Xie, Rui and Jiang, Dongxiang and Ming, Anlong}, journal={IJCAI}, year={2022}, }