All of these licenses allow free use, redistribution, and adaptation for non-commercial purposes.
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.
For business inquiries, please visit our website and submit the form: NVIDIA Research Licensing Licenses Please note that this dataset is not intended for, and should not be used for, development or improvement of facial recognition technologies. Various automatic filters were used to prune the set, and finally Amazon Mechanical Turk was used to remove the occasional statues, paintings, or photos of photos. Only images under permissive licenses were collected. The images were crawled from Flickr, thus inheriting all the biases of that website, and automatically aligned and cropped using dlib. It also has good coverage of accessories such as eyeglasses, sunglasses, hats, etc. The 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. Tero Karras (NVIDIA), Samuli Laine (NVIDIA), Timo Aila (NVIDIA)
FACER CREATOR RESOLUTIONS GENERATOR
Flickr-Faces-HQ (FFHQ) is a high-quality image dataset of human faces, originally created as a benchmark for generative adversarial networks (GAN):Ī Style-Based Generator Architecture for Generative Adversarial Networks
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