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Description
A 2017 dataset for face recognition across pose and age, created by Qiong Cao, Li Shen, Weidi Xie, Omkar M. Parkhi, and Andrew Zisserman. The dataset is hosted on Hugging Face by the user ProgramComputer and was last updated on the platform in February 2026. It is derived from the original VGGFace2 research paper published on arXiv.
Use Cases
Training face recognition models based on the dataset's focus on pose and age variation.
Benchmarking model robustness to pose changes based on the dataset's stated purpose.
Developing age-invariant face recognition systems based on the dataset's stated purpose.
Strengths
Dataset is based on a well-cited 2017 research paper from a reputable academic team.
The Hugging Face repository was last updated on 2026-02-20, suggesting recent platform activity.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count, file formats, and license information are unknown, which may limit suitability assessment.
Data may reflect temporal bias inherent to its 2017 publication date.
Provenance
Source
Original research by Qiong Cao, Li Shen, Weidi Xie, Omkar M. Parkhi, and Andrew Zisserman.
Time Range
Published in 2017.
Freshness
Last updated 2026-02-20 22:24:35; freshness should be verified
License is unknown; terms of use must be verified before application.