---
title: MetFaces
canonical_url: "https://www.modelscope.cn/datasets/OpenDataLab/MetFaces"
md_url: "https://www.modelscope.cn/datasets/OpenDataLab/MetFaces.md"
repository: OpenDataLab/MetFaces
last_updated: 2024-07-13
license: "[CC BY-NC 2.0]"
storage_size: "17 GB"
domain:
  - publishDate
  - publisher
  - paperUrl
  - publishUrl
  - taskTypes
  - displayName
tasks:
  - 2020
  - "Aalto University"
  - "https://arxiv.org/pdf/2006.06676v2.pdf"
  - "https://github.com/NVlabs/metfaces-dataset"
  - "Image Generation"
  - MetFaces
downloads: 6204
stars: 0
---

# MetFaces

> MetFaces - OpenDataLab 在 ModelScope 开源的数据集。displayName: MetFaces license: CC BY-NC 2.0 paperUrl: https://arxiv.org/pdf/2006.06676v2.pdf publishDate: "2020" publishUrl: https://github.com/NVlabs/metfaces-dataset publisher: NVIDIA Aalto University tags: Works…

OpenDataLab/MetFaces 是 ModelScope 魔搭社区上的2020、Aalto University、https://arxiv.org/pdf/2006.06676v2.pdf数据集，涉及 publishDate、publisher、paperUrl 领域，存储大小 17 GB，采用 [CC BY-NC 2.0] 许可。

- **Repository**: OpenDataLab/MetFaces
- **License**: [CC BY-NC 2.0]
- **Tasks**: 2020, Aalto University, https://arxiv.org/pdf/2006.06676v2.pdf, https://github.com/NVlabs/metfaces-dataset, Image Generation, MetFaces
- **Domain**: publishDate, publisher, paperUrl, publishUrl, taskTypes, displayName
- **Storage size**: 17 GB
- **Downloads**: 6204
- **Stars**: 0
- **Last updated**: 2024-07-13

Source: https://www.modelscope.cn/datasets/OpenDataLab/MetFaces

---

displayName: MetFaces
license:
- CC BY-NC 2.0
paperUrl: https://arxiv.org/pdf/2006.06676v2.pdf
publishDate: "2020"
publishUrl: https://github.com/NVlabs/metfaces-dataset
publisher:
- NVIDIA
- Aalto University
tags:
- Works of art
- Face image
taskTypes:
- Image Generation

---
# 数据集介绍
  ## 简介
  MetFaces是从艺术品中提取的人脸图像数据集。该数据集由1336高质量的PNG图像组成，分辨率为1024 × 1024。这些图像是通过大都会艺术博物馆收藏API下载的，并使用dlib自动对齐和裁剪。使用了各种自动过滤器来修剪套装。
  ## 引文
  ```
@article{karras2020training,
  title={Training generative adversarial networks with limited data},
  author={Karras, Tero and Aittala, Miika and Hellsten, Janne and Laine, Samuli and Lehtinen, Jaakko and Aila, Timo},
  journal={Advances in Neural Information Processing Systems},
  volume={33},
  pages={12104--12114},
  year={2020}
}
```
  
## Download dataset
:modelscope-code[]{type="git"}