Datasets › FFHQ
FFHQ (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
Benchmarks archive 2025-07-28
All 17 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
Papers archive 2025-07-28
30 shown of 59 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 1,468. The Syntology column is from Syntology's graph (read 2026-09-25), stated per sample; it is not part of any archive number.
The full list of 59 is in the JSON twin.
Dataset loaders archive 2025-07-28
2 loaders as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- 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
10 variant names, as the archive lists them.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections