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Flickr-Faces-HQ Dataset

A high-quality image dataset of human faces

Flickr-Faces-HQ Dataset

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/paperThe dataset consists of 70,000 high-quality PNG images at 1024×1024 resolution and contains considerable variation in terms of age, ethnicity and image background. It also has good coverage of accessories such as eyeglasses, sunglasses, hats, etc. The images were crawled from Flickr, thus inheriting all the biases of that website, and automatically aligned and cropped. Only images under permissive licenses were collected. Various automatic filters were used to prune the set, and finally Mechanical Turk was used to remove the occasional statues, paintings, or photos of photos.

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NVIDIA
https://www.nvidia.com/en-us/location-selector/
Task
GAN / Image Generation
Annotation Types
Image Pairs
70000
Items
3
Classes
70000
Labels
Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
Research Only
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