Flickr-Faces-HQ Dataset (FFHQ)
- kaggle.com
Updated Mar 9, 2020
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EmailClick to copy linkLink copiedCiteArnaud ROUGETET (2020). Flickr-Faces-HQ Dataset (FFHQ) [Dataset]. https://www.kaggle.com/datasets/arnaud58/flickrfaceshq-dataset-ffhq/suggestionsCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedMar 9, 2020AuthorsArnaud ROUGETETLicenseAttribution-ShareAlike 3.0 (CC BY-SA 3.0)https://creativecommons.org/licenses/by-sa/3.0/
License information was derived automaticallyDescriptionThe dataset consists of 52,000 high-quality PNG images at 512×512 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 using dlib. Only images under permissive licenses were collected. 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.
For business inquiries, please contact researchinquiries@nvidia.com
For press and other inquiries, please contact Hector Marinez at hmarinez@nvidia.com
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FacebookTwitterEmailFlickr-Faces-HQ Dataset (FFHQ)
Dataset of human faces for generative adversarial networks (GAN)
Attribution-ShareAlike 3.0 (CC BY-SA 3.0)https://creativecommons.org/licenses/by-sa/3.0/
License information was derived automatically
The dataset consists of 52,000 high-quality PNG images at 512×512 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 using dlib. Only images under permissive licenses were collected. 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.
For business inquiries, please contact researchinquiries@nvidia.com
For press and other inquiries, please contact Hector Marinez at hmarinez@nvidia.com