From d676ac27c4bd7e5a967fbbc86f39836a67c83335 Mon Sep 17 00:00:00 2001 From: adamhrv Date: Mon, 4 Mar 2019 15:52:29 +0100 Subject: cosmetics --- site/public/about/index.html | 17 +----------- site/public/about/terms/index.html | 2 +- site/public/datasets/lfw/index.html | 53 +++++++++++++++---------------------- 3 files changed, 23 insertions(+), 49 deletions(-) (limited to 'site/public') diff --git a/site/public/about/index.html b/site/public/about/index.html index e2ce409d..ed80691a 100644 --- a/site/public/about/index.html +++ b/site/public/about/index.html @@ -28,22 +28,7 @@

About This Project

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Recent Press

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MegaPixels is an art and research project by Adam Harvey about the origins and ethics of facial analysis datasets. Where do they come from? Who's included? Who created it and for what reason?

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MegaPixels sets out to answer to these questions and reveal the stories behind the millions of images used to train, evaluate, and power the facial recognition surveillance algorithms used today. MegaPixels is authored by Adam Harvey, developed in collaboration with Jules LaPlace, and produced in partnership with Mozilla.

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MegaPixels is an art and research project by Adam Harvey about the origins and ethics of facial analysis datasets. Where do they come from? Who's included? Who created it and for what reason?

MegaPixels sets out to answer to these questions and reveal the stories behind the millions of images used to train, evaluate, and power the facial recognition surveillance algorithms used today. MegaPixels is authored by Adam Harvey, developed in collaboration with Jules LaPlace, and produced in partnership with Mozilla.

MegaPixels sets out to answer to these questions and reveal the stories behind the millions of images used to train, evaluate, and power the facial recognition surveillance algorithms used today. MegaPixels is authored by Adam Harvey, developed in collaboration with Jules LaPlace, and produced in partnership with Mozilla.

Adam Harvey

Adam Harvey is an American artist and researcher based in Berlin. His previous projects (CV Dazzle, Stealth Wear, and SkyLift) explore the potential for countersurveillance as artwork. He is the founder of VFRAME (visual forensics software for human rights groups), the recipient of 2 PrototypeFund awards, and is currently a researcher in residence at Karlsruhe HfG studying artifical intelligence and datasets.

diff --git a/site/public/about/terms/index.html b/site/public/about/terms/index.html index c90f1c9d..650366e0 100644 --- a/site/public/about/terms/index.html +++ b/site/public/about/terms/index.html @@ -28,7 +28,7 @@

Terms and Conditions ("Terms")

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  • About
  • Press
  • Credits
    • diff --git a/site/public/datasets/lfw/index.html b/site/public/datasets/lfw/index.html index 9657b866..e90cdcc5 100644 --- a/site/public/datasets/lfw/index.html +++ b/site/public/datasets/lfw/index.html @@ -4,7 +4,7 @@ MegaPixels - + Labeled Faces in The Wild (LFW) is a database of face photographs designed for studying the problem of unconstrained face recognition." /> @@ -27,44 +27,34 @@
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    Labeled Faces in The Wild (LFW) is a database of face photographs designed for studying the problem of unconstrained face recognition.
    It includes 13,456 images of 4,432 people’s images copied from the Internet during 2002-2004. -
    A few of the 5,749 people in the Labeled Faces in the Wild Dataset. The most widely used face dataset for benchmarking commercial face recognition algorithms.

    Statistics

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    Years
    2002-2004
    Images
    13,233
    Identities
    5,749
    Origin
    Yahoo News Images
    Funding
    (Possibly, partially CIA)

    INSIGHTS

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    • There are about 3 men for every 1 woman (4,277 men and 1,472 women) in the LFW dataset 1
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      Labeled Faces in The Wild (LFW) is a database of face photographs designed for studying the problem of unconstrained face recognition.
      It includes 13,456 images of 4,432 people's images copied from the Internet during 2002-2004. +
      A few of the 5,749 people in the Labeled Faces in the Wild Dataset, thee most widely used face dataset for benchmarking face recognition algorithms.
      Created
      2002-2004
      Images
      13,233
      Identities
      5,749
      Origin
      Yahoo! News Images
      Used by
      Facebook, Google, Microsoft, Baidu, Tencent, SenseTime, Face++, CIA, NSA, IARPA
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      • There are about 3 men for every 1 woman in the LFW dataset 1
      • The person with the most images is George W. Bush with 530
      • There are about 3 George W. Bush's for every 1 Tony Blair
      • The LFW dataset includes over 500 actors, 30 models, 10 presidents, 124 basketball players, 24 football players, 11 kings, 7 queens, and 1 Moby
      • 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
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      • * denotes partial funding for related research

      Labeled Faces in the Wild

      Labeled Faces in The Wild (LFW) is "a database of face photographs designed for studying the problem of unconstrained face recognition 1. It is used to evaluate and improve the performance of facial recognition algorithms in academic, commercial, and government research. According to BiometricUpdate.com 3, LFW is "the most widely used evaluation set in the field of facial recognition, LFW attracts a few dozen teams from around the globe including Google, Facebook, Microsoft Research Asia, Baidu, Tencent, SenseTime, Face++ and Chinese University of Hong Kong."

      The LFW dataset includes 13,233 images of 5,749 people that were collected between 2002-2004. LFW is a subset of Names of Faces and is part of the first facial recognition training dataset created entirely from images appearing on the Internet. The people appearing in LFW are...

      The Names and Faces dataset was the first face recognition dataset created entire from online photos. However, Names and Faces and LFW are not the first face recognition dataset created entirely "in the wild". That title belongs to the UCD dataset. Images obtained "in the wild" means using an image without explicit consent or awareness from the subject or photographer.

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      Biometric Trade Routes

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      [convert to template] To understand how this dataset has been used, its citations have been geocoded to show an approximate geographic digital trade route of the biometric data. Lines indicate an organization (education, commercial, or governmental) that has cited the LFW dataset in their research. Data is compiled from Semantic Scholar.

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      Synthetic Faces

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      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.

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      Synthetically generated face from the visual space of LFW dataset
      Synthetically generated face from the visual space of LFW dataset
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      The Names and Faces dataset was the first face recognition dataset created entire from online photos. However, Names and Faces and LFW are not the first face recognition dataset created entirely "in the wild". That title belongs to the UCD dataset. Images obtained "in the wild" means using an image without explicit consent or awareness from the subject or photographer.

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      All 5,379 people in the Labeled Faces in The Wild Dataset. Showing one face per person
      All 5,379 people in the Labeled Faces in The Wild Dataset. Showing one face per person

      The Names and Faces dataset was the first face recognition dataset created entire from online photos. However, Names and Faces and LFW are not the first face recognition dataset created entirely "in the wild". That title belongs to the UCD dataset. Images obtained "in the wild" means using an image without explicit consent or awareness from the subject or photographer.

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      The Names and Faces dataset was the first face recognition dataset created entire from online photos. However, Names and Faces and LFW are not the first face recognition dataset created entirely "in the wild". That title belongs to the UCD dataset. Images obtained "in the wild" means using an image without explicit consent or awareness from the subject or photographer.

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      Biometric Trade Routes

      To understand how this dataset has been used, its citations have been geocoded to show an approximate geographic digital trade route of the biometric data. Lines indicate an organization (education, commercial, or governmental) that has cited the LFW dataset in their research. Data is compiled from Semantic Scholar.

      ■ Academic
      ■ Industry
      ■ Government

      Sed ut perspiciatis, unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam eaque ipsa, quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt, explicabo. Nemo enim ipsam voluptatem, quia voluptas sit, aspernatur aut odit aut fugit, sed quia.

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      + +

      Supplementary Information for Labeled Faces in The Wild

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      Citations

      Add graph showing distribution by country. Add information about how the citations were generated. Add button/link to download CSV

      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.

      Synthetically generated face from the visual space of LFW dataset
      Synthetically generated face from the visual space of LFW dataset
      Synthetically generated face from the visual space of LFW dataset
      Synthetically generated face from the visual space of LFW dataset
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      Synthetically generated face from the visual space of LFW dataset
      Synthetically generated face from the visual space of LFW dataset

      Citations

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      Browse or download the geocoded citation data collected for the LFW dataset.

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      Additional Information

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      (tweet-sized snippets go here)

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      • The LFW dataset is considered the "most popular benchmark for face recognition" 2
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      • The LFW dataset is "the most widely used evaluation set in the field of facial recognition" 3
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      • All images in LFW dataset were obtained "in the wild" meaning without any consent from the subject or from the photographer
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      • The faces in the LFW dataset were detected using the Viola-Jones haarcascade face detector [^lfw_website] [^lfw-survey]
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      • 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." 3
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      • All images in the LFW dataset were copied from Yahoo News between 2002 - 2004
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      • In 2014, two of the four original authors of the LFW dataset received funding from IARPA and ODNI for their followup paper Labeled Faces in the Wild: Updates and New Reporting Procedures via IARPA contract number 2014-14071600010
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      • The dataset includes 2 images of George Tenet, 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
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      former President George W. Bush
      former President George W. Bush
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      Colin Powell (236), Tony Blair (144), and Donald Rumsfeld (121)
      Colin Powell (236), Tony Blair (144), and Donald Rumsfeld (121)
      All 5,379 faces in the Labeled Faces in The Wild Dataset
      All 5,379 faces in the Labeled Faces in The Wild Dataset

      Code

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      The LFW dataset is so widely used that a popular code library called Sci-Kit Learn includes a function called fetch_lfw_people to download the faces in the LFW dataset.

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      Synthetically generated face from the visual space of LFW dataset
      Synthetically generated face from the visual space of LFW dataset
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      Synthetically generated face from the visual space of LFW dataset
      Synthetically generated face from the visual space of LFW dataset

      Commercial Use of Labeled Faces in The Wild

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      Add a paragraph about how usage extends far beyond academia into research centers for largest companies in the world. And even funnels into CIA funded research in the US and defense industry usage in China.

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      Code

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      The LFW dataset is so widely used that access to the facial data has built directly into a popular code library called Sci-Kit Learn. It includes a function called fetch_lfw_people to download the faces in the LFW dataset.

      #!/usr/bin/python
 
 import numpy as np
@@ -94,11 +84,10 @@ imageio.imwrite('lfw_montage_full.png', montage)
 montage = imutils.resize(montage, width=960)
 imageio.imwrite('lfw_montage_960.jpg', montage)
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      Supplementary Material

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      Text and graphics ©Adam Harvey / megapixels.cc

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      Research, text, and graphics ©Adam Harvey / megapixels.cc

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