Flickr-Faces-HQ
Flickr-Faces-HQ (FFHQ) 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 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.
Source: Flickr-Faces-HQ Dataset (FFHQ)
Image Source: https://github.com/NVlabs/ffhq-dataset
Variants: FFHQ 64x64 - 4x upscaling, FFHQ 512 x 512, FFHQ-U, FFHQ 512 x 512 - 4x upscaling, FFHQ 512 x 512 - 16x upscaling, FFHQ 256 x 256 - 4x upscaling, FFHQ 256 x 256, FFHQ 1024 x 1024 - 4x upscaling, FFHQ 1024 x 1024, FFHQ
This dataset is used in 2 benchmarks:
Recent papers with results on this dataset: