VGGFace2-HQ / README.md
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metadata
task_categories:
  - image-classification
license: cc-by-nc-4.0
viewer: false
extra_gated_prompt: >-
  This dataset contains images or recordings of real, identifiable people that
  third parties collected from the web. Copyright in the media (images, audio
  and video) stays with its original owners, and access here is not a licence to
  it. Some parts, such as the original publishers' annotations, carry their own
  licences; these conditions do not limit any rights those licences give you.
  Recognition evaluation on the dataset itself is allowed. Read the dataset card
  before use.
extra_gated_fields:
  I will use the media only for non-commercial research: checkbox
  I will not redistribute the media: checkbox
  I will not use the dataset to identify, track or monitor people outside it: checkbox
  I will delete affected media if told of a removal request: checkbox

https://github.com/NNNNAI/VGGFace2-HQ

What this repository contains

  • train/VGGFac01.zip to train/VGGFac10.zip: the VGGFace2-HQ project's training release, downloaded from its Google Drive and re-packaged into ten ZIP files.
  • test/test.zip: not part of the project's release. It was generated for this repository from the VGGFace2 test set with the project's own scripts: FFHQ alignment (scripts/crop_align_vggface2_FFHQalign.py), then GFPGAN restoration (scripts/inference_gfpgan_forvggface2.py with GFPGANCleanv1-NoCE-C2.pth). It holds 61,841 restored images.

Removal requests

If you appear in this dataset, or hold rights in any of its media, and want it removed, open a discussion in this repository's Community tab with the file paths or IDs involved.

Bounded streaming

datasets==5.0.0 does not execute loading scripts from the Hub. Clone code and metadata without downloading Git LFS objects, then import the loader directly:

GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/datasets/ProgramComputer/VGGFace2-HQ

Pin both data revisions when constructing the stream:

from VGGFace2_HQ import load_streaming

dataset = load_streaming(
    "train",
    revision="ee41c3e64981063524744286b468e739190cfbed",
    raw_revision="ad5f6b5a5f560621fd7efb9b79c956d27d427a08",
    cache_dir="/bounded/cache",
    scratch_dir="/bounded/scratch",
)
first_record = next(iter(dataset))

ZIP shards use bounded HTTP-range reads. A full-shard scratch fallback is disabled unless allow_full_shard_fallback=True is passed with explicit byte limits.