| Flickr-Faces-HQ (FFHQ) is a high-quality image dataset of human faces, | |
| originally created as a benchmark for generative adversarial networks (GAN): | |
| A Style-Based Generator Architecture for Generative Adversarial Networks | |
| Tero Karras (NVIDIA), Samuli Laine (NVIDIA), Timo Aila (NVIDIA) | |
| http://stylegan.xyz/paper | |
| The individual images were published in Flickr by their respective authors | |
| under either Creative Commons BY 2.0, Creative Commons BY-NC 2.0, | |
| Public Domain Mark 1.0, Public Domain CC0 1.0, or U.S. Government Works | |
| license. All of these licenses allow free use, redistribution, and adaptation | |
| for non-commercial purposes. However, some of them require giving appropriate | |
| credit to the original author, as well as indicating any changes that were | |
| made to the images. The license and original author of each image are | |
| indicated in the metadata. | |
| https://creativecommons.org/licenses/by/2.0/ | |
| https://creativecommons.org/licenses/by-nc/2.0/ | |
| https://creativecommons.org/publicdomain/mark/1.0/ | |
| https://creativecommons.org/publicdomain/zero/1.0/ | |
| http://www.usa.gov/copyright.shtml | |
| The dataset itself (including JSON metadata, download script, and | |
| documentation) is made available under Creative Commons BY-NC-SA 4.0 license | |
| by NVIDIA Corporation. You can use, redistribute, and adapt it for | |
| non-commercial purposes, as long as you (a) give appropriate credit by | |
| citing our paper, (b) indicate any changes that you've made, and | |
| (c) distribute any derivative works under the same license. | |
| https://creativecommons.org/licenses/by-nc-sa/4.0/ |