Animal Faces

# Dataset Preview

# About This Data
> This dataset, also known as Animal Faces-HQ (AFHQ), consists of **16,130** high-quality images at **512×512** resolution.
There are three domains of classes, each providing about 5000 images. By having multiple (three) domains and diverse images of various breeds per each domain, AFHQ sets a challenging image-to-image translation problem. The classes are:
- Cat;
- Dog;
- Wildlife.

# How to Cite this Dataset
If you use this dataset in your research, please credit the authors

### BibTeX
> @inproceedings{choi2020starganv2,
title={StarGAN v2: Diverse Image Synthesis for Multiple Domains},
author={Yunjey Choi and Youngjung Uh and Jaejun Yoo and Jung-Woo Ha},
booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
year={2020}
}

### License
> CC BY NC 4.0

### Splash banner
> Photo by Gary Bendig on [Unsplash](https://unsplash.com/photos/6GMq7AGxNbE)

For more datasets, click [here](https://www.kaggle.com/andrewmvd/datasets).

## 数据集预览

## 数据集简介
> 本数据集，亦称《高清晰动物面部》（Animal Faces-HQ，简称AFHQ），包含16,130张分辨率达到512×512的高质量图像。数据集分为三大类别领域，每个领域约提供5,000张图像。AFHQ通过包含多个（三个）领域以及每个领域内多种品种的多样化图像，设定了一个具有挑战性的图像到图像的翻译问题。类别包括：
- 猫；
- 狗；
- 野生动物。

## 如何引用此数据集
若您的研究中使用了此数据集，请务必注明作者。

### BibTeX
> @inproceedings{choi2020starganv2,
title={StarGAN v2: Diverse Image Synthesis for Multiple Domains},
author={Yunjey Choi and Youngjung Uh and Jaejun Yoo and Jung-Woo Ha},
booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
year={2020}
}

### 许可协议
> CC BY NC 4.0

### 活页广告
> 图像由Gary Bendig在[Unsplash](https://unsplash.com/photos/6GMq7AGxNbE)提供

欲了解更多数据集，请点击[此处](https://www.kaggle.com/andrewmvd/datasets)。