celebrity_together (9 files)
 imdb_v1.0.mat |
33.52MB |
| imdb_v1.1.mat |
33.52MB |
| README.txt |
3.57kB |
| images_ms1m_dis.tar.gz |
10.53GB |
| images_query.tar.gz |
423.15MB |
| eval_code/README.txt |
3.25kB |
| images_ct.tar |
11.40GB |
| eval_code/eval_code.tar.gz |
1.24kB |
| eval_code/eval_set.m |
4.98kB |
Type: Dataset
Metadata:
Tags:
Metadata:
@article{,
title= {Celebrity Together},
journal= {},
author= {Yujie Zhong and Relja Arandjelović and Andrew Zisserman},
year= {},
url= {https://www.robots.ox.ac.uk/~vgg/data/celebrity_together/},
abstract= {This dataset contains images that have multiple labeled celebrities per image. It therefore can be used as an evaluation benchmark for retrieving a set of identities. Namely, given a query of a set of identities (and one or several face images are provided for each identity), the system should return a ranked list of the dataset images, such that images containing all the query identities are ranked first, followed by images containing all but one, etc.
The 'Celebrity Together' dataset has 194k images containing 546k faces in total, covering 2622 labeled celebrities (same identities as VGGFace Dataset). 59% faces correspond to these 2622 celebrities, and the rest faces are considered as 'unknown' people. The images in this dataset were obtained using Google Image Search and verified by human annotation. Further details of the dataset collection procedure are explained in the paper.},
keywords= {},
terms= {},
license= {},
superseded= {}
}
Citation:
Zhong, Y., Arandjelović, R., & Zisserman, A.. (2026). Celebrity Together [Data set]. Academic Torrents. https://academictorrents.com/details/1d959d3af14abbccc7c30293113670848d8aaa89