Datasets:
ArXiv:
DOI:
License:
metadata
license: cc-by-nc-4.0
paperswithcode_id: vggface2
pretty_name: vggface2
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}
}