DeepFace (dataset)

DeepFace (dataset)
"Global" Information Certainty
Events
Dataset Category	Facial Images
URL	https://pypi.org/project/deepface/
Keywords
Related Technology	DeepFace
Owning institution
Custodian institution
Custodian institution
has funding
has images
has individuals
runs database software
runs search software
Dataset full name
Dataset Category
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Technical information:

Full name
Country
Contents	Facial Images
Images	4,000,000
Individuals	4,000
Runs database software
URL"URL" is a type and predefined property provided by Semantic MediaWiki to represent URI/URL values.	https://pypi.org/project/deepface/
Related Technology	DeepFace

Developers and Users:

Developed by	Facebook
Owning institution
Custodian institution

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Description

It was not until the breakthrough of Alexnet in 2012, and the subsequent introduction of the DeepFace model in 2014, that the use of neural networks became a mainstream method for facial recognition development. DeepFace, the first facial recognition model trained with deep learning, was also the first instance of a facial recognition model approaching human performance on a task. Deepface was developed by researchers at Facebook, Inc. and trained on an internal dataset composed of images from Facebook profile images; at the time, it was purportedly “the largest facial dataset to-date, an identity labeled dataset of 4 million facial images belonging to more than 4,000 identities” (Taigman et al. 2014).The impact of deep learning techniques on face recognition and its adjacent problems was dramatic; the DeepFace model achieved a 97.35% accuracy on the Labeled Faces in the Wild (LfW) test set, reducing the previous state of the art’s error by 27%. 1

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