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| author | Adam Harvey <adam@ahprojects.com> | 2019-02-25 11:58:30 +0100 |
|---|---|---|
| committer | Adam Harvey <adam@ahprojects.com> | 2019-02-25 11:58:30 +0100 |
| commit | b73485603adf0ec0deea74600fe9b8db6b495de8 (patch) | |
| tree | cd19b53e25364dbc7aa305d5652f8cebfd59472e | |
| parent | 9b180b3c3fe809dd9c8818f6cbd785e9df31b507 (diff) | |
update research
| -rw-r--r-- | site/content/pages/datasets/lfw/index.md | 20 |
1 files changed, 5 insertions, 15 deletions
diff --git a/site/content/pages/datasets/lfw/index.md b/site/content/pages/datasets/lfw/index.md index cadce1ba..f52b1be6 100644 --- a/site/content/pages/datasets/lfw/index.md +++ b/site/content/pages/datasets/lfw/index.md @@ -36,16 +36,12 @@ The *Names and Faces* dataset was the first face recognition dataset created ent - The LFW dataset includes over 500 actors, 30 models, 10 presidents, 124 basketball players, 24 football players, 11 kings, 7 queens, and 1 [Moby](http://vis-www.cs.umass.edu/lfw/person/Moby.html) - In all 3 of the LFW publications [^lfw_original_paper], [^lfw_survey], [^lfw_tech_report] the words "ethics", "consent", and "privacy" appear 0 times - The word "future" appears 71 times -- Funding sources for the dataset has not included in the original paper. In a follow up survey created by the authors of the paper, funding was later received by IARPA and ODNI for +### Synthetic Faces +To visualize the types of photos in the dataset without explicitly publishing individual's identities a generative adversarial network (GAN) was trained on the entire dataset. The images in this video show a neural network learning the visual latent space and then interpolating between archetypical identities within the LFW dataset. - -### Visualizations - -To visualize the types of photos in the dataset without explicitly publishing individual's identities. We use a Generative Adversarial Network trained on the entire dataset to represent the archetypical looks within the dataset's visual latent space. - - + ### Biometric Trade Routes @@ -71,14 +67,8 @@ Browse or download the geocoded citation data collected for the LFW dataset. - The faces in the LFW dataset were detected using the Viola-Jones haarcascade face detector [^lfw_website] [^lfw-survey] - The LFW dataset is used by several of the largest tech companies in the world including "Google, Facebook, Microsoft Research Asia, Baidu, Tencent, SenseTime, Face++ and Chinese University of Hong Kong." [^lfw_pingan] - All images in the LFW dataset were copied from Yahoo News between 2002 - 2004 -- In 2014, 2/4 of the original authors of the LFW dataset received funding from IARPA and ODNI for their follow up paper "Labeled Faces in the Wild: Updates and New Reporting Procedures" via IARPA contract number 2014-14071600010 - -TODO (need citations for the following) - -- SenseTime, who has relied on LFW for benchmarking their facial recognition performance, is one the leading provider of surveillance to the Chinese Government [need citation for this fact. is it the most? or is that Tencent?] -- Two out of 4 of the original authors received funding from the Office of Director of National Intelligence and IARPA for their 2016 LFW survey follow up report -- The dataset includes one intelligence chief, George Tenet, former Director of Central Intelligence (DCI) for the Central Intelligence Agency - +- In 2014, two of the four original authors of the LFW dataset received funding from IARPA and ODNI for their follow up paper [Labeled Faces in the Wild: Updates and New Reporting Procedures](https://www.semanticscholar.org/paper/Labeled-Faces-in-the-Wild-%3A-Updates-and-New-Huang-Learned-Miller/2d3482dcff69c7417c7b933f22de606a0e8e42d4) via IARPA contract number 2014-14071600010 +- The dataset includes 2 images of [George Tenet](http://vis-www.cs.umass.edu/lfw/person/George_Tenet.html), the former Director of Central Intelligence (DCI) for the Central Intelligence Agency whose facial biometrics were eventually used to help train facial recognition software in China and Russia   |