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Jun 27, 2021 10:34 PM
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Overview

A database of face photographs designed for studying the problem of unconstrained face recognition. The data set contains more than 13,000 images of faces collected from the web. Each face has been labeled with the name of the person pictured. 1680 of the people pictured have two or more distinct photos in the data set. The only constraint on these faces is that they were detected by the Viola-Jones face detector. More details can be found in the technical report below.

There are now four different sets of LFW images including the original and three different types of "aligned" images. The aligned images include "funneled images" (ICCV 2007), LFW-a, which uses an unpublished method of alignment, and "deep funneled" images (NIPS 2012). Among these, LFW-a and the deep funneled images produce superior results for most face verification algorithms over the original images and over the funneled images (ICCV 2007).

Citation

Please use the following citation when referencing the dataset:

@inproceedings{huang2008labeled,
  title={Labeled faces in the wild: A database forstudying face recognition in unconstrained
environments},
  author={Huang, Gary B and Mattar, Marwan and Berg, Tamara and Learned-Miller, Eric},
  year={2008}
}
🎉感谢Graviti Open Datasets的贡献
数据集信息
应用场景暂无
标注类型暂无
任务类型暂无
LicenseUnknown
更新时间2020-12-31 17:28:10
数据概要
数据格式暂无
数据数量13,233
已标注数量0
文件大小0.00B
版权归属方
University of Massachusetts
标注方
未知
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