Difference between revisions of "CASIA Webface"

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==Description==
 
==Description==
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<blockquote>The CASIA-WebFace dataset is used for face verification and face identification tasks. The dataset contains 494,414 face images of 10,575 real identities collected from the web.[[CiteRef::banerjeeHallucinatingContextBackground2020]]</blockquote>
 
<blockquote>The CASIA-WebFace dataset is used for face verification and face identification tasks. The dataset contains 494,414 face images of 10,575 real identities collected from the web.[[CiteRef::banerjeeHallucinatingContextBackground2020]]</blockquote>
  
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Latest revision as of 17:24, 20 April 2024

CASIA Webface
"Global" Information Certainty
Events
Dataset Category Facial Images
URL
Keywords
Related Technology
Owning institution CASIA
Custodian institution CASIA
Custodian institution CASIA
has funding
has images 494414
has individuals 10575
runs database software
runs search software
Dataset full name
Dataset Category Academic
Country China


Type: Academic


Technical information:

Full name
CountryChina
ContentsFacial Images
Images494,414
Individuals10,575
Runs database software
URL"URL" is a type and predefined property provided by Semantic MediaWiki to represent URI/URL values.
Related Technology

Developers and Users:

Developed byCASIA
Owning institutionCASIA
Custodian institutionCASIA

Description[edit | ]

In the search for datasets sufficient to use in the training and testing of these data-hungry methods, many were inspired by Web-sourced benchmarks such as LfW, resulting in datasets such as Oxford’s VGG-Face dataset (Parkhi et al. 2015), Microsoft’s 1M MS Celeb (Guo et al. 2016), MegaFace (Kemelmacher-Shlizerman et al. 2016), and the CASIA WebFace dataset (Yi et al. 2014). 1

The CASIA-WebFace dataset is used for face verification and face identification tasks. The dataset contains 494,414 face images of 10,575 real identities collected from the web.2


References

  1. ^  Raji, Inioluwa Deborah and Fried, Genevieve. About Face: A Survey of Facial Recognition Evaluation. , 2021.
  2. ^  Banerjee, Sandipan and Scheirer, Walter J. and Bowyer, Kevin W. and Flynn, Patrick J.. On Hallucinating Context and Background Pixels from a Face Mask using Multi-scale GANs. , 2020.