README.md

metadata

license: unknown
paperswithcode_id: vggface2
pretty_name: vggface2
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

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 this repository's remote Python loader through load_dataset(). Clone code and metadata without downloading Git LFS objects, then use the project-side module directly:

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

Archive bytes are read sequentially and are not extracted or cached.

from VGGFace2 import load_streaming

dataset = load_streaming(
    split="train",
    revision="ad5f6b5a5f560621fd7efb9b79c956d27d427a08",
    cache_dir="./metadata-cache",
    scratch_dir="./stream-scratch",
)
first_hundred = list(dataset.take(100))

@article{DBLP:journals/corr/abs-1710-08092,
  author       = {Qiong Cao and
                  Li Shen and
                  Weidi Xie and
                  Omkar M. Parkhi and
                  Andrew Zisserman},
  title        = {VGGFace2: {A} dataset for recognising faces across pose and age},
  journal      = {CoRR},
  volume       = {abs/1710.08092},
  year         = {2017},
  url          = {http://arxiv.org/abs/1710.08092},
  eprinttype    = {arXiv},
  eprint       = {1710.08092},
  timestamp    = {Wed, 04 Aug 2021 07:50:14 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-1710-08092.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}