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OXFORD VGGFace2 Dataset

We introduce a new large-scale face dataset named VGGFace2. 
The dataset contains 3.31 million images of 9131 subjects (identities), 
with an average of 362.6 images for each subject. 
Images are downloaded from Google Image Search and have large variations in 
pose, age, illumination, ethnicity and profession (e.g. actors, athletes, politicians). 

The whole dataset is split to a training set (including 8631 identites) 
and a test set (including 500 identites). 
The identities in the training set are disjoint with the ones in 
benchmark datasets IJB-A and IJB-B. 

The dataset is covered under a Creative Commons Attribution 4.0 International license. 
Please read the license terms here: https://creativecommons.org/licenses/by/4.0/

Downloading this dataset implies agreement to follow the same
conditions for any modification and/or re-distribution of the dataset in any form.

Additionally any entity using this dataset agrees to the following conditions:

THIS DATASET IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS
IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED
TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A
PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
HOLDER BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.


Please cite [1] below if you make use of the dataset.

[1] Q. Cao, L. Shen, W. Xie, O. M. Parkhi, A. Zisserman
VGGFace2: A dataset for recognising faces across pose and age.   
Arxiv: https://arxiv.org/abs/1710.08092.