PUG_Animals

## PUG Animals
The PUG: Animals dataset contains 215,040 pre-rendered images based on Unreal-Engine using 70 animal assets, 64 environments, 3 sizes, 4 textures, under 4 camera orientations.
It was designed with the intent to create a dataset with variation factors available. Inspired by research on out-of-distribution generalization, PUG: Animals allows one to precisely control distribution shifts between training and testing which can provide better insight on how a deep neural network generalizes on held out variation factors.

## LICENSE
The datasets are distributed under the CC-BY-NC, with the addenda that they should not be used to train Generative AI models.

## Citing PUG
If you use one of the PUG datasets, please cite:
```
@misc{bordes2023pug,
title={PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning},
author={Florian Bordes and Shashank Shekhar and Mark Ibrahim and Diane Bouchacourt and Pascal Vincent and Ari S. Morcos},
year={2023},
eprint={2308.03977},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
```

## To learn more about the PUG datasets:
Please visit the [website](https://pug.metademolab.com/) and the [github](https://github.com/facebookresearch/PUG)

## PUG：动物数据集
本PUG：动物数据集包含215,040张基于虚幻引擎（Unreal Engine）预渲染的图像，其构建依托70种动物资产、64种环境场景、3种尺寸规格、4种纹理样式，并支持4种相机拍摄角度。
本数据集的设计目标是打造具备丰富可变因素的数据集。受分布外泛化相关研究的启发，PUG：动物数据集支持用户精准控制训练集与测试集之间的分布偏移，从而能够更深入地探究深度神经网络在留出可变因素上的泛化能力。

## 许可证
本数据集采用CC-BY-NC协议进行分发，附加条款规定不得将其用于训练生成式AI（Generative AI）模型。

## 引用PUG数据集
若您使用了PUG系列数据集，请引用如下文献：

@misc{bordes2023pug,
title={PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning},
author={Florian Bordes and Shashank Shekhar and Mark Ibrahim and Diane Bouchacourt and Pascal Vincent and Ari S. Morcos},
year={2023},
eprint={2308.03977},
archivePrefix={arXiv},
primaryClass={cs.CV}
}

## 了解更多PUG系列数据集
请访问[官方网站](https://pug.metademolab.com/)与[GitHub仓库](https://github.com/facebookresearch/PUG)