diff options
| author | adamhrv <adam@ahprojects.com> | 2018-12-15 19:57:49 +0100 |
|---|---|---|
| committer | adamhrv <adam@ahprojects.com> | 2018-12-15 19:57:49 +0100 |
| commit | 82b2c0b5d6d7baccbe4d574d96e18fe2078047d7 (patch) | |
| tree | a8784b7ec2bc5a0451c252f66a6b786f3a2504f5 /site/public | |
| parent | 8e978af21c2b29f678a09701afb3ec7d65d0a6ab (diff) | |
| parent | c5b02ffab8d388e8a2925e51736b902a48a95e71 (diff) | |
Merge branch 'master' of github.com:adamhrv/megapixels_dev
Diffstat (limited to 'site/public')
| -rw-r--r-- | site/public/about/credits/index.html | 57 | ||||
| -rw-r--r-- | site/public/about/disclaimer/index.html | 57 | ||||
| -rw-r--r-- | site/public/about/index.html | 57 | ||||
| -rw-r--r-- | site/public/about/press/index.html | 55 | ||||
| -rw-r--r-- | site/public/about/privacy/index.html | 134 | ||||
| -rw-r--r-- | site/public/about/style/index.html | 90 | ||||
| -rw-r--r-- | site/public/about/terms/index.html | 69 | ||||
| l--------- | site/public/assets | 1 | ||||
| -rw-r--r-- | site/public/datasets/lfw/index.html | 283 | ||||
| -rw-r--r-- | site/public/datasets/lfw/what/index.html | 142 | ||||
| -rw-r--r-- | site/public/datasets/vgg_face2/index.html | 84 | ||||
| -rw-r--r-- | site/public/datasets/vgg_faces2/index.html | 63 | ||||
| -rw-r--r-- | site/public/index.html | 78 | ||||
| -rw-r--r-- | site/public/research/00_introduction/index.html | 86 | ||||
| -rw-r--r-- | site/public/research/01_from_1_to_100_pixels/index.html | 95 | ||||
| -rw-r--r-- | site/public/research/from_1_to_100_pixels/index.html | 101 | ||||
| -rw-r--r-- | site/public/research/index.html | 51 |
17 files changed, 1503 insertions, 0 deletions
diff --git a/site/public/about/credits/index.html b/site/public/about/credits/index.html new file mode 100644 index 00000000..65bc7ac4 --- /dev/null +++ b/site/public/about/credits/index.html @@ -0,0 +1,57 @@ +<!doctype html> +<html> +<head> + <title>MegaPixels</title> + <meta charset="utf-8" /> + <meta name="author" content="Adam Harvey" /> + <meta name="description" content="MegaPixels Project Team Credits" /> + <meta name="referrer" content="no-referrer" /> + <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" /> + <link rel='stylesheet' href='/assets/css/fonts.css' /> + <link rel='stylesheet' href='/assets/css/css.css' /> +</head> +<body> + <header> + <a class='slogan' href="/"> + <div class='logo'></div> + <div class='site_name'>MegaPixels</div> + <span class='sub'>The Darkside of Datasets</span> + </a> + <div class='links'> + <a href="/search/">Face Search</a> + <a href="/datasets/">Datasets</a> + <a href="/research/">Research</a> + <a href="/about/">About</a> + </div> + </header> + <div class="content"> + + <section><h1>Credits</h1> +</section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/site/about/assets/test.jpg' alt='alt text'><div class='caption'>alt text</div></div></section><section><ul> +<li>MegaPixels by Adam Harvey</li> +<li>Made with support from Mozilla</li> +<li>Site developed by Jules Laplace</li> +<li>Design and graphics: Adam Harvey</li> +<li>Research assistants: Berit Gilma</li> +</ul> +</section> + + </div> + <footer> + <div> + <a href="/">MegaPixels.cc</a> + <a href="/about/disclaimer/">Disclaimer</a> + <a href="/about/terms/">Terms of Use</a> + <a href="/about/privacy/">Privacy</a> + <a href="/about/">About</a> + <a href="/about/team/">Team</a> + </div> + <div> + MegaPixels ©2017-19 Adam R. Harvey / + <a href="https://ahprojects.com">ahprojects.com</a> + </div> + </footer> +</body> + +<script src="/assets/js/app/site.js"></script> +</html>
\ No newline at end of file diff --git a/site/public/about/disclaimer/index.html b/site/public/about/disclaimer/index.html new file mode 100644 index 00000000..b0215bde --- /dev/null +++ b/site/public/about/disclaimer/index.html @@ -0,0 +1,57 @@ +<!doctype html> +<html> +<head> + <title>MegaPixels</title> + <meta charset="utf-8" /> + <meta name="author" content="Adam Harvey" /> + <meta name="description" content="MegaPixels Disclaimer" /> + <meta name="referrer" content="no-referrer" /> + <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" /> + <link rel='stylesheet' href='/assets/css/fonts.css' /> + <link rel='stylesheet' href='/assets/css/css.css' /> +</head> +<body> + <header> + <a class='slogan' href="/"> + <div class='logo'></div> + <div class='site_name'>MegaPixels</div> + <span class='sub'>The Darkside of Datasets</span> + </a> + <div class='links'> + <a href="/search/">Face Search</a> + <a href="/datasets/">Datasets</a> + <a href="/research/">Research</a> + <a href="/about/">About</a> + </div> + </header> + <div class="content"> + + <section><h1>Disclaimer</h1> +<p>Last updated: December 04, 2018</p> +<p>The information contained on MegaPixels.cc website (the "Service") is for academic and artistic purposes only.</p> +<p>MegaPixels.cc assumes no responsibility for errors or omissions in the contents on the Service.</p> +<p>In no event shall MegaPixels.cc be liable for any special, direct, indirect, consequential, or incidental damages or any damages whatsoever, whether in an action of contract, negligence or other tort, arising out of or in connection with the use of the Service or the contents of the Service. MegaPixels.cc reserves the right to make additions, deletions, or modification to the contents on the Service at any time without prior notice.</p> +<h2>External links disclaimer</h2> +<p>MegaPixels.cc website may contain links to external websites that are not provided or maintained by or in any way affiliated with MegaPixels.cc</p> +<p>Please note that the MegaPixels.cc does not guarantee the accuracy, relevance, timeliness, or completeness of any information on these external websites.</p> +</section> + + </div> + <footer> + <div> + <a href="/">MegaPixels.cc</a> + <a href="/about/disclaimer/">Disclaimer</a> + <a href="/about/terms/">Terms of Use</a> + <a href="/about/privacy/">Privacy</a> + <a href="/about/">About</a> + <a href="/about/team/">Team</a> + </div> + <div> + MegaPixels ©2017-19 Adam R. Harvey / + <a href="https://ahprojects.com">ahprojects.com</a> + </div> + </footer> +</body> + +<script src="/assets/js/app/site.js"></script> +</html>
\ No newline at end of file diff --git a/site/public/about/index.html b/site/public/about/index.html new file mode 100644 index 00000000..65bc7ac4 --- /dev/null +++ b/site/public/about/index.html @@ -0,0 +1,57 @@ +<!doctype html> +<html> +<head> + <title>MegaPixels</title> + <meta charset="utf-8" /> + <meta name="author" content="Adam Harvey" /> + <meta name="description" content="MegaPixels Project Team Credits" /> + <meta name="referrer" content="no-referrer" /> + <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" /> + <link rel='stylesheet' href='/assets/css/fonts.css' /> + <link rel='stylesheet' href='/assets/css/css.css' /> +</head> +<body> + <header> + <a class='slogan' href="/"> + <div class='logo'></div> + <div class='site_name'>MegaPixels</div> + <span class='sub'>The Darkside of Datasets</span> + </a> + <div class='links'> + <a href="/search/">Face Search</a> + <a href="/datasets/">Datasets</a> + <a href="/research/">Research</a> + <a href="/about/">About</a> + </div> + </header> + <div class="content"> + + <section><h1>Credits</h1> +</section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/site/about/assets/test.jpg' alt='alt text'><div class='caption'>alt text</div></div></section><section><ul> +<li>MegaPixels by Adam Harvey</li> +<li>Made with support from Mozilla</li> +<li>Site developed by Jules Laplace</li> +<li>Design and graphics: Adam Harvey</li> +<li>Research assistants: Berit Gilma</li> +</ul> +</section> + + </div> + <footer> + <div> + <a href="/">MegaPixels.cc</a> + <a href="/about/disclaimer/">Disclaimer</a> + <a href="/about/terms/">Terms of Use</a> + <a href="/about/privacy/">Privacy</a> + <a href="/about/">About</a> + <a href="/about/team/">Team</a> + </div> + <div> + MegaPixels ©2017-19 Adam R. Harvey / + <a href="https://ahprojects.com">ahprojects.com</a> + </div> + </footer> +</body> + +<script src="/assets/js/app/site.js"></script> +</html>
\ No newline at end of file diff --git a/site/public/about/press/index.html b/site/public/about/press/index.html new file mode 100644 index 00000000..09c89165 --- /dev/null +++ b/site/public/about/press/index.html @@ -0,0 +1,55 @@ +<!doctype html> +<html> +<head> + <title>MegaPixels</title> + <meta charset="utf-8" /> + <meta name="author" content="Adam Harvey" /> + <meta name="description" content="MegaPixels in The News" /> + <meta name="referrer" content="no-referrer" /> + <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" /> + <link rel='stylesheet' href='/assets/css/fonts.css' /> + <link rel='stylesheet' href='/assets/css/css.css' /> +</head> +<body> + <header> + <a class='slogan' href="/"> + <div class='logo'></div> + <div class='site_name'>MegaPixels</div> + <span class='sub'>The Darkside of Datasets</span> + </a> + <div class='links'> + <a href="/search/">Face Search</a> + <a href="/datasets/">Datasets</a> + <a href="/research/">Research</a> + <a href="/about/">About</a> + </div> + </header> + <div class="content"> + + <section><h1>Press</h1> +</section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/site/about/assets/test.jpg' alt='alt text'><div class='caption'>alt text</div></div></section><section><ul> +<li>Aug 22, 2018: "Transgender YouTubers had their videos grabbed to train facial recognition software" by James Vincent <a href="https://www.theverge.com/2017/8/22/16180080/transgender-youtubers-ai-facial-recognition-dataset">https://www.theverge.com/2017/8/22/16180080/transgender-youtubers-ai-facial-recognition-dataset</a></li> +<li>Aug 22, 2018: "Transgender YouTubers had their videos grabbed to train facial recognition software" by James Vincent <a href="https://www.theverge.com/2017/8/22/16180080/transgender-youtubers-ai-facial-recognition-dataset">https://www.theverge.com/2017/8/22/16180080/transgender-youtubers-ai-facial-recognition-dataset</a></li> +<li>Aug 22, 2018: "Transgender YouTubers had their videos grabbed to train facial recognition software" by James Vincent <a href="https://www.theverge.com/2017/8/22/16180080/transgender-youtubers-ai-facial-recognition-dataset">https://www.theverge.com/2017/8/22/16180080/transgender-youtubers-ai-facial-recognition-dataset</a></li> +</ul> +</section> + + </div> + <footer> + <div> + <a href="/">MegaPixels.cc</a> + <a href="/about/disclaimer/">Disclaimer</a> + <a href="/about/terms/">Terms of Use</a> + <a href="/about/privacy/">Privacy</a> + <a href="/about/">About</a> + <a href="/about/team/">Team</a> + </div> + <div> + MegaPixels ©2017-19 Adam R. Harvey / + <a href="https://ahprojects.com">ahprojects.com</a> + </div> + </footer> +</body> + +<script src="/assets/js/app/site.js"></script> +</html>
\ No newline at end of file diff --git a/site/public/about/privacy/index.html b/site/public/about/privacy/index.html new file mode 100644 index 00000000..5675f072 --- /dev/null +++ b/site/public/about/privacy/index.html @@ -0,0 +1,134 @@ +<!doctype html> +<html> +<head> + <title>MegaPixels</title> + <meta charset="utf-8" /> + <meta name="author" content="Adam Harvey" /> + <meta name="description" content="MegaPixels Privacy Policy" /> + <meta name="referrer" content="no-referrer" /> + <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" /> + <link rel='stylesheet' href='/assets/css/fonts.css' /> + <link rel='stylesheet' href='/assets/css/css.css' /> +</head> +<body> + <header> + <a class='slogan' href="/"> + <div class='logo'></div> + <div class='site_name'>MegaPixels</div> + <span class='sub'>The Darkside of Datasets</span> + </a> + <div class='links'> + <a href="/search/">Face Search</a> + <a href="/datasets/">Datasets</a> + <a href="/research/">Research</a> + <a href="/about/">About</a> + </div> + </header> + <div class="content"> + + <section><h1>Privacy Policy</h1> +<p>A summary of our privacy policy is as follows:</p> +<p>The MegaPixels site does not use any analytics programs or collect any data besides the necessary IP address of your connection, which are deleted every 30 days and used only for security and to prevent misuse.</p> +<p>The image processing sections of the site do not collect any data whatsoever. All processing takes place in temporary memory (RAM) and then is displayed back to the user over a SSL secured HTTPS connection. It is the sole responsibility of the user whether they discard, by closing the page, or share their analyzed information and any potential consequences that may arise from doing so.</p> +<hr> +<p>A more complete legal version is below:</p> +<p><strong>This is a boilerplate Privacy policy from <a href="https://termsfeed.com/">https://termsfeed.com/</a></strong></p> +<p><strong>Needs to be reviewed</strong></p> +<p>Effective date: December 04, 2018</p> +<p>megapixels.cc ("us", "we", or "our") operates the WebsiteName website (hereinafter referred to as the "Service").</p> +<p>This page informs you of our policies regarding the collection, use, and disclosure of personal data when you use our Service and the choices you have associated with that data.</p> +<p>We use your data to provide and improve the Service. By using the Service, you agree to the collection and use of information in accordance with this policy. Unless otherwise defined in this Privacy Policy, the terms used in this Privacy Policy have the same meanings as in our Terms and Conditions, accessible from WebsiteName</p> +<h2>Definitions</h2> +<p><strong>Service</strong></p> +<p>Service is the MegaPixels website operated by megapixels.cc</p> +<p><strong>Personal Data</strong></p> +<p>Personal Data means data about a living individual who can be identified from those data (or from those and other information either in our possession or likely to come into our possession).</p> +<p><strong>Usage Data</strong></p> +<p>Usage Data is data collected automatically either generated by the use of the Service or from the Service infrastructure itself</p> +<h2>Information Collection and Use</h2> +<p>We collect several different types of information for various purposes to provide and improve our Service to you.</p> +<h3>Types of Data Collected</h3> +<h4>Personal Data</h4> +<p>While using our Service, we may ask you to provide us with certain personally identifiable information that can be used to contact or identify you ("Personal Data"). Personally identifiable information may include, but is not limited to:</p> +<ul> +<li>Cookies and Usage Data</li> +</ul> +<h4>Usage Data</h4> +<p>We may also collect information how the Service is accessed and used ("Usage Data"). This Usage Data may include information such as your computer's Internet Protocol address (e.g. IP address), browser type, browser version, the pages of our Service that you visit, the time and date of your visit, the time spent on those pages, unique device identifiers and other diagnostic data.</p> +<h4>Tracking & Cookies Data</h4> +<p>We use cookies and similar tracking technologies to track the activity on our Service and we hold certain information. +Cookies are files with a small amount of data which may include an anonymous unique identifier. Cookies are sent to your browser from a website and stored on your device. Other tracking technologies are also used such as beacons, tags and scripts to collect and track information and to improve and analyse our Service.</p> +<p>You can instruct your browser to refuse all cookies or to indicate when a cookie is being sent. However, if you do not accept cookies, you may not be able to use some portions of our Service. +Examples of Cookies we use:</p> +<ul> +<li><strong>Session Cookies.</strong> We use Session Cookies to operate our Service.</li> +<li><strong>Preference Cookies.</strong> We use Preference Cookies to remember your preferences and various settings.</li> +<li><strong>Security Cookies.</strong> We use Security Cookies for security purposes.</li> +</ul> +<h2>Use of Data</h2> +<p>megapixels.cc uses the collected data for various purposes:</p> +<ul> +<li>To provide and maintain the Service</li> +<li>To notify you about changes to our Service</li> +<li>To allow you to participate in interactive features of our Service when you choose to do so</li> +<li>To provide customer care and support</li> +<li>To provide analysis or valuable information so that we can improve the Service</li> +<li>To monitor the usage of the Service</li> +<li>To detect, prevent and address technical issues</li> +</ul> +<h2>Transfer Of Data</h2> +<p>Your information, including Personal Data, may be transferred to — and maintained on — computers located outside of your state, province, country or other governmental jurisdiction where the data protection laws may differ than those from your jurisdiction.</p> +<p>If you are located outside Germany and choose to provide information to us, please note that we transfer the data, including Personal Data, to Germany and process it there. +Your consent to this Privacy Policy followed by your submission of such information represents your agreement to that transfer. +megapixels.cc will take all steps reasonably necessary to ensure that your data is treated securely and in accordance with this Privacy Policy and no transfer of your Personal Data will take place to an organization or a country unless there are adequate controls in place including the security of your data and other personal information.</p> +<h2>Disclosure Of Data</h2> +<h3>Legal Requirements</h3> +<p>megapixels.cc may disclose your Personal Data in the good faith belief that such action is necessary to:</p> +<ul> +<li>To comply with a legal obligation</li> +<li>To protect and defend the rights or property of megapixels.cc</li> +<li>To prevent or investigate possible wrongdoing in connection with the Service</li> +<li>To protect the personal safety of users of the Service or the public</li> +<li>To protect against legal liability</li> +</ul> +<h2>Security of Data</h2> +<p>The security of your data is important to us but remember that no method of transmission over the Internet or method of electronic storage is 100% secure. While we strive to use commercially acceptable means to protect your Personal Data, we cannot guarantee its absolute security.</p> +<h2>Service Providers</h2> +<p>We may employ third party companies and individuals to facilitate our Service ("Service Providers"), to provide the Service on our behalf, to perform Service-related services or to assist us in analyzing how our Service is used.</p> +<p>These third parties have access to your Personal Data only to perform these tasks on our behalf and are obligated not to disclose or use it for any other purpose.</p> +<h2>Links to Other Sites</h2> +<p>Our Service may contain links to other sites that are not operated by us. If you click a third party link, you will be directed to that third party's site. We strongly advise you to review the Privacy Policy of every site you visit. +We have no control over and assume no responsibility for the content, privacy policies or practices of any third party sites or services.</p> +<h2>Children's Privacy</h2> +<p>Our Service does not address anyone under the age of 18 ("Children").</p> +<p>We do not knowingly collect personally identifiable information from anyone under the age of 18. If you are a parent or guardian and you are aware that your Child has provided us with Personal Data, please contact us. If we become aware that we have collected Personal Data from children without verification of parental consent, we take steps to remove that information from our servers.</p> +<h2>Changes to This Privacy Policy</h2> +<p>We may update our Privacy Policy from time to time. We will notify you of any changes by posting the new Privacy Policy on this page. +We will let you know via email and/or a prominent notice on our Service, prior to the change becoming effective and update the "effective date" at the top of this Privacy Policy. +You are advised to review this Privacy Policy periodically for any changes. Changes to this Privacy Policy are effective when they are posted on this page.</p> +<h2>Contact Us</h2> +<p>If you have any questions about this Privacy Policy, please contact us:</p> +<ul> +<li>By visiting this page on our website: <a href="https://megapixels.cc/contact">https://megapixels.cc/contact</a></li> +</ul> +</section> + + </div> + <footer> + <div> + <a href="/">MegaPixels.cc</a> + <a href="/about/disclaimer/">Disclaimer</a> + <a href="/about/terms/">Terms of Use</a> + <a href="/about/privacy/">Privacy</a> + <a href="/about/">About</a> + <a href="/about/team/">Team</a> + </div> + <div> + MegaPixels ©2017-19 Adam R. Harvey / + <a href="https://ahprojects.com">ahprojects.com</a> + </div> + </footer> +</body> + +<script src="/assets/js/app/site.js"></script> +</html>
\ No newline at end of file diff --git a/site/public/about/style/index.html b/site/public/about/style/index.html new file mode 100644 index 00000000..f2c0d4b8 --- /dev/null +++ b/site/public/about/style/index.html @@ -0,0 +1,90 @@ +<!doctype html> +<html> +<head> + <title>MegaPixels</title> + <meta charset="utf-8" /> + <meta name="author" content="Adam Harvey" /> + <meta name="description" content="MegaPixels Style" /> + <meta name="referrer" content="no-referrer" /> + <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" /> + <link rel='stylesheet' href='/assets/css/fonts.css' /> + <link rel='stylesheet' href='/assets/css/css.css' /> +</head> +<body> + <header> + <a class='slogan' href="/"> + <div class='logo'></div> + <div class='site_name'>MegaPixels</div> + <span class='sub'>The Darkside of Datasets</span> + </a> + <div class='links'> + <a href="/search/">Face Search</a> + <a href="/datasets/">Datasets</a> + <a href="/research/">Research</a> + <a href="/about/">About</a> + </div> + </header> + <div class="content"> + + <section><h1>Style Examples</h1> +</section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/site/about/assets/test.jpg' alt='Alt text here'><div class='caption'>Alt text here</div></div></section><section><div class='meta'><div><div class='gray'>Date</div><div>17-Jan-2019</div></div><div><div class='gray'>Numbers</div><div>17</div></div><div><div class='gray'>Identities</div><div>12,139</div></div><div><div class='gray'>But also</div><div>This is a test of the stylesheet</div></div></div></section><section><h1>Header 1</h1> +<h2>Header 2</h2> +<h3>Header 3</h3> +<h4>Header 4</h4> +<h5>Header 5</h5> +<h6>Header 6</h6> +<p><strong>Bold text</strong>, <em>italic text</em>, <strong><em>bold italic text</em></strong></p> +<p>At vero eos et et iusto qui blanditiis <a href="#">praesentium voluptatum</a> deleniti atque corrupti[^1], quos dolores et quas molestias excepturi sint, obcaecati cupiditate non-provident, similique sunt in culpa, qui officia deserunt mollitia animi, id est laborum et dolorum fuga. Et harum quidem rerum facilis est et expedita distinctio[^2]. Nam libero tempore, cum soluta nobis est eligendi optio, cumque nihil impedit, quo minus id, quod maxime placeat, facere possimus, omnis voluptas assumenda est, omnis dolor repellendus[^3].</p> +<ul> +<li>Sed ut perspiciatis, unde omnis iste natus error sit voluptatem accusantium doloremque laudantium</li> +<li>Totam rem aperiam eaque ipsa, quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt, explicabo</li> +<li>Nemo enim ipsam voluptatem, quia voluptas sit, aspernatur aut</li> +<li>Odit aut fugit, sed quia consequuntur magni dolores eos</li> +<li>Qui ratione voluptatem sequi nesciunt, neque porro quisquam </li> +</ul> +<h2>single image test</h2> +</section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/site/about/assets/man.jpg' alt='This person is alone'><div class='caption'>This person is alone</div></div></section><section><h2>double image test</h2> +</section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/site/about/assets/man.jpg' alt='This person is on the left'><div class='caption'>This person is on the left</div></div> +<div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/site/about/assets/man.jpg' alt='This person is on the right'><div class='caption'>This person is on the right</div></div></section><section><h2>triple image test</h2> +</section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/site/about/assets/man.jpg' alt='Person 1'><div class='caption'>Person 1</div></div> +<div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/site/about/assets/man.jpg' alt='Person 2'><div class='caption'>Person 2</div></div> +<div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/site/about/assets/man.jpg' alt='Person 3. Let me tell you about Person 3. This person has a very long description with text which wraps like crazy'><div class='caption'>Person 3. Let me tell you about Person 3. This person has a very long description with text which wraps like crazy</div></div></section><section><blockquote><p>est, qui dolorem ipsum, quia dolor sit amet consectetur adipisci[ng] velit, sed quia non-numquam [do] eius modi tempora inci[di]dunt, ut labore et dolore magnam aliquam quaerat voluptatem.</p> +</blockquote> +</section><section class='wide'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/site/about/assets/wide-test.jpg' alt='This image is extremely wide and the text beneath it will wrap but thats fine because it can also contain <a href="https://example.com/">hyperlinks</a>! Yes, you read that right—hyperlinks! Lorem ipsum dolor sit amet ad volotesque sic hoc ad nauseam'><div class='caption'>This image is extremely wide and the text beneath it will wrap but that's fine because it can also contain <a href="https://example.com/">hyperlinks</a>! Yes, you read that right—hyperlinks! Lorem ipsum dolor sit amet ad volotesque sic hoc ad nauseam</div></div></section><section><p>Inline <code>code</code> has <code>back-ticks around</code> it.</p> +<pre><code class="lang-javascript">var s = "JavaScript syntax highlighting"; +alert(s); +</code></pre> +<pre><code class="lang-python">s = "Python syntax highlighting" +print(s) +</code></pre> +<pre><code>No language indicated, so no syntax highlighting. +But let's throw in a <b>tag</b>. +</code></pre> +<p>Horizontal rule</p> +<hr> +<p>Citations below here</p> +<div class="footnotes"> +<hr> +<ol></ol> +</div> +</section> + + </div> + <footer> + <div> + <a href="/">MegaPixels.cc</a> + <a href="/about/disclaimer/">Disclaimer</a> + <a href="/about/terms/">Terms of Use</a> + <a href="/about/privacy/">Privacy</a> + <a href="/about/">About</a> + <a href="/about/team/">Team</a> + </div> + <div> + MegaPixels ©2017-19 Adam R. 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\ No newline at end of file diff --git a/site/public/datasets/lfw/index.html b/site/public/datasets/lfw/index.html new file mode 100644 index 00000000..e080229f --- /dev/null +++ b/site/public/datasets/lfw/index.html @@ -0,0 +1,283 @@ +<!doctype html> +<html> +<head> + <title>MegaPixels</title> + <meta charset="utf-8" /> + <meta name="author" content="Adam Harvey" /> + <meta name="description" content="LFW: Labeled Faces in The Wild" /> + <meta name="referrer" content="no-referrer" /> + <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" /> + <link rel='stylesheet' href='/assets/css/fonts.css' /> + <link rel='stylesheet' href='/assets/css/css.css' /> +</head> +<body> + <header> + <a class='slogan' href="/"> + <div class='logo'></div> + <div class='site_name'>MegaPixels</div> + <span class='sub'>The Darkside of Datasets</span> + </a> + <div class='links'> + <a href="/search/">Face Search</a> + <a href="/datasets/">Datasets</a> + <a href="/research/">Research</a> + <a href="/about/">About</a> + </div> + </header> + <div class="content"> + + <section><h1>Labeled Faces in the Wild</h1> +</section><section><div class='meta'><div><div class='gray'>Created</div><div>2007</div></div><div><div class='gray'>Images</div><div>13,233</div></div><div><div class='gray'>People</div><div>5,749</div></div><div><div class='gray'>Created From</div><div>Yahoo News images</div></div><div><div class='gray'>Search available</div><div>Searchable</div></div></div></section><section><p>Labeled Faces in The Wild (LFW) is amongst the most widely used facial recognition training datasets in the world and is the first of its kind to be created entirely from images posted online. The LFW dataset includes 13,233 images of 5,749 people that were collected between 2002-2004. Use the tools below to check if you were included in this dataset or scroll down to read the analysis.</p> +<p>{INSERT IMAGE SEARCH MODULE}</p> +<p>{INSERT TEXT SEARCH MODULE}</p> +<pre><code>load file: lfw_names_gender_kg_min.csv +Name, Images, Gender, Description +</code></pre> +</section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/lfw/assets/lfw_feature.jpg' alt='Eighteen 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.'><div class='caption'>Eighteen 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.</div></div></section><section><h2>Intro</h2> +<p>Three paragraphs describing the LFW dataset in a format that can be easily replicated for the other datasets. Nothing too custom. An analysis of the initial research papers with context relative to all the other dataset papers.</p> +</section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/lfw/assets/lfw_montage_everyone_1920.jpg' alt=' all 5,749 people in the LFW Dataset sorted from most to least images collected.'><div class='caption'> all 5,749 people in the LFW Dataset sorted from most to least images collected.</div></div></section><section><h2>LFW by the Numbers</h2> +<ul> +<li>Was first published in 2007</li> +<li>Developed out of a prior dataset from Berkely called "Faces in the Wild" or "Names and Faces" [^lfw_original_paper]</li> +<li>Includes 13,233 images and 5,749 different people [^lfw_website]</li> +<li>There are about 3 men for every 1 woman (4,277 men and 1,472 women)[^lfw_website]</li> +<li>The person with the most images is George W. Bush with 530</li> +<li>Most people (70%) in the dataset have only 1 image</li> +<li>Thre are 1,680 people in the dataset with 2 or more images [^lfw_website]</li> +<li>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 </li> +<li>The LFW dataset includes over 500 actors, 30 models, 10 presidents, 24 football players, 124 basketball players, 11 kings, and 2 queens</li> +<li>In all the LFW publications provided by the authors the words "ethics", "consent", and "privacy" appear 0 times [^lfw_original_paper], [^lfw_survey], [^lfw_tech_report] , [^lfw_website]</li> +<li>The word "future" appears 71 times</li> +</ul> +<h1>Facts</h1> +<ul> +<li>Was created for the purpose of improving "unconstrained face recognition" [^lfw_original_paper]</li> +<li>All images in LFW were obtained "in the wild" meaning without any consent from the subject or from the photographer</li> +<li>The faces were detected using the Viola-Jones haarcascade face detector [^lfw_website] [^lfw_survey]</li> +<li>Is considered the "most popular benchmark for face recognition" [^lfw_baidu]</li> +<li>Is "the most widely used evaluation set in the field of facial recognition" [^lfw_pingan]</li> +<li>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]</li> +</ul> +<p>need citations</p> +<ul> +<li>All images were copied from Yahoo News between 2002 - 2004 [^lfw_original_paper]</li> +<li>SenseTime, who has relied on LFW for benchmarking their facial recognition performance, is the leading provider of surveillance to the Chinese Government (need citation)</li> +</ul> +</section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/lfw/assets/lfw_montage_top1_640.jpg' alt=' former President George W. Bush'><div class='caption'> former President George W. Bush</div></div> +<div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/lfw/assets/lfw_montage_top2_4_640.jpg' alt=' Colin Powel (236), Tony Blair (144), and Donald Rumsfeld (121)'><div class='caption'> Colin Powel (236), Tony Blair (144), and Donald Rumsfeld (121)</div></div></section><section><h2>People and Companies using the LFW Dataset</h2> +<p>This section describes who is using the dataset and for what purposes. It should include specific examples of people or companies with citations and screenshots. This section is followed up by the graph, the map, and then the supplementary material.</p> +<p>The LFW dataset is used by numerous companies for <a href="about/glossary#benchmarking">benchmarking</a> algorithms and in some cases <a href="about/glossary#training">training</a>. According to the benchmarking results page [^lfw_results] provided by the authors, over 2 dozen companies have contributed their benchmark results.</p> +<p>According to BiometricUpdate.com [^lfw_pingan], 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."</p> +<p>According to researchers at the Baidu Research – Institute of Deep Learning "LFW has been the most popular evaluation benchmark for face recognition, and played a very important role in facilitating the face recognition society to improve algorithm. [^lfw_baidu]."</p> +<p>In addition to commercial use as an evaluation tool, alll of the faces in LFW dataset are prepackaged into a popular machine learning code framework called scikit-learn.</p> +<pre><code>load file: lfw_commercial_use.csv +name_display,company_url,example_url,country,description +</code></pre> +<table> +<thead><tr> +<th style="text-align:left">Company</th> +<th style="text-align:left">Country</th> +<th style="text-align:left">Industries</th> +</tr> +</thead> +<tbody> +<tr> +<td style="text-align:left"><a href="http://www.aratek.co">Aratek</a></td> +<td style="text-align:left">China</td> +<td style="text-align:left">Biometric sensors for telecom, civil identification, finance, education, POS, and transportation</td> +</tr> +<tr> +<td style="text-align:left"><a href="http://www.aratek.co">Aratek</a></td> +<td style="text-align:left">China</td> +<td style="text-align:left">Biometric sensors for telecom, civil identification, finance, education, POS, and transportation</td> +</tr> +<tr> +<td style="text-align:left"><a href="http://www.aratek.co">Aratek</a></td> +<td style="text-align:left">China</td> +<td style="text-align:left">Biometric sensors for telecom, civil identification, finance, education, POS, and transportation</td> +</tr> +</tbody> +</table> +<p>Add 2-4 screenshots of companies mentioning LFW here</p> +</section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/lfw/assets/lfw_screenshot_01.jpg' alt=' "PING AN Tech facial recognition receives high score in latest LFW test results"'><div class='caption'> "PING AN Tech facial recognition receives high score in latest LFW test results"</div></div> +<div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/lfw/assets/lfw_screenshot_02.jpg' alt=' "Face Recognition Performance in LFW benchmark"'><div class='caption'> "Face Recognition Performance in LFW benchmark"</div></div> +<div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/lfw/assets/lfw_screenshot_03.jpg' alt=' "The 1st place in face verification challenge, LFW"'><div class='caption'> "The 1st place in face verification challenge, LFW"</div></div></section><section><p>In benchmarking, companies use a dataset to evaluate their algorithms which are typically trained on other data. After training, researchers will use LFW as a benchmark to compare results with other algorithms.</p> +<p>For example, Baidu (est. net worth $13B) uses LFW to report results for their "Targeting Ultimate Accuracy: Face Recognition via Deep Embedding". According to the three Baidu researchers who produced the paper:</p> +<h2>Citations</h2> +<p>Overall, LFW has at least 456 citations from 123 countries. 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 consequuntur magni dolores eos.</p> +<p>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 consequuntur magni dolores eos.</p> +</section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/lfw/assets/temp_graph.jpg' alt='Distribution of citations per year per country for the top 5 countries with citations for the LFW Dataset'><div class='caption'>Distribution of citations per year per country for the top 5 countries with citations for the LFW Dataset</div></div></section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/lfw/assets/temp_map.jpg' alt='Geographic distributions of citations for the LFW Dataset'><div class='caption'>Geographic distributions of citations for the LFW Dataset</div></div></section><section><h2>Conclusion</h2> +<p>The LFW face recognition training and evaluation dataset is a historically important face dataset as it was the first popular dataset to be created entirely from Internet images, paving the way for a global trend towards downloading anyone’s face from the Internet and adding it to a dataset. As will be evident with other datasets, LFW’s approach has now become the norm.</p> +<p>For all the 5,000 people in this datasets, their face is forever a part of facial recognition history. It would be impossible to remove anyone from the dataset because it is so ubiquitous. For their rest of the lives and forever after, these 5,000 people will continue to be used for training facial recognition surveillance.</p> +<h2>Right to Removal</h2> +<p>If you are affected by disclosure of your identity in this dataset please do contact the authors. Many have stated that they are willing to remove images upon request. The authors of the LFW dataset provide the following email for inquiries:</p> +<p>You can use the following message to request removal from the dataset:</p> +<p>To: Gary Huang <a href="mailto:mailto:gbhuang@cs.umass.edu">mailto:gbhuang@cs.umass.edu</a></p> +<p>Subject: Request for Removal from LFW Face Dataset</p> +<p>Dear [researcher name],</p> +<p>I am writing to you about the "Labeled Faces in The Wild Dataset". Recently I discovered that your dataset includes my identity and I no longer wish to be included in your dataset.</p> +<p>The dataset is being used thousands of companies around the world to improve facial recognition software including usage by governments for the purpose of law enforcement, national security, tracking consumers in retail environments, and tracking individuals through public spaces.</p> +<p>My name as it appears in your dataset is [your name]. Please remove all images from your dataset and inform your newsletter subscribers to likewise update their copies.</p> +<p>- [your name]</p> +<hr> +<h2>Supplementary Data</h2> +<p>Researchers, journ</p> +<table> +<thead><tr> +<th style="text-align:left">Title</th> +<th style="text-align:left">Organization</th> +<th style="text-align:left">Country</th> +<th style="text-align:left">Type</th> +</tr> +</thead> +<tbody> +<tr> +<td style="text-align:left">3D-aided face recognition from videos</td> +<td style="text-align:left">University of Lyon</td> +<td style="text-align:left">France</td> +<td style="text-align:left">edu</td> +</tr> +<tr> +<td style="text-align:left">A Community Detection Approach to Cleaning Extremely Large Face Database</td> +<td style="text-align:left">National University of Defense Technology, China</td> +<td style="text-align:left">China</td> +<td style="text-align:left">edu</td> +</tr> +<tr> +<td style="text-align:left">3D-aided face recognition from videos</td> +<td style="text-align:left">University of Lyon</td> +<td style="text-align:left">France</td> +<td style="text-align:left">edu</td> +</tr> +<tr> +<td style="text-align:left">3D-aided face recognition from videos</td> +<td style="text-align:left">University of Lyon</td> +<td style="text-align:left">France</td> +<td style="text-align:left">edu</td> +</tr> +<tr> +<td style="text-align:left">3D-aided face recognition from videos</td> +<td style="text-align:left">University of Lyon</td> +<td style="text-align:left">France</td> +<td style="text-align:left">edu</td> +</tr> +<tr> +<td style="text-align:left">3D-aided face recognition from videos</td> +<td style="text-align:left">University of Lyon</td> +<td style="text-align:left">France</td> +<td style="text-align:left">edu</td> +</tr> +<tr> +<td style="text-align:left">3D-aided face recognition from videos</td> +<td style="text-align:left">University of Lyon</td> +<td style="text-align:left">France</td> +<td style="text-align:left">edu</td> +</tr> +<tr> +<td style="text-align:left">3D-aided face recognition from videos</td> +<td style="text-align:left">University of Lyon</td> +<td style="text-align:left">France</td> +<td style="text-align:left">edu</td> +</tr> +<tr> +<td style="text-align:left">3D-aided face recognition from videos</td> +<td style="text-align:left">University of Lyon</td> +<td style="text-align:left">France</td> +<td style="text-align:left">edu</td> +</tr> +<tr> +<td style="text-align:left">3D-aided face recognition from videos</td> +<td style="text-align:left">University of Lyon</td> +<td style="text-align:left">France</td> +<td style="text-align:left">edu</td> +</tr> +<tr> +<td style="text-align:left">3D-aided face recognition from videos</td> +<td style="text-align:left">University of Lyon</td> +<td style="text-align:left">France</td> +<td style="text-align:left">edu</td> +</tr> +<tr> +<td style="text-align:left">3D-aided face recognition from videos</td> +<td style="text-align:left">University of Lyon</td> +<td style="text-align:left">France</td> +<td style="text-align:left">edu</td> +</tr> +<tr> +<td style="text-align:left">3D-aided face recognition from videos</td> +<td style="text-align:left">University of Lyon</td> +<td style="text-align:left">France</td> +<td style="text-align:left">edu</td> +</tr> +<tr> +<td style="text-align:left">3D-aided face recognition from videos</td> +<td style="text-align:left">University of Lyon</td> +<td style="text-align:left">France</td> +<td style="text-align:left">edu</td> +</tr> +<tr> +<td style="text-align:left">3D-aided face recognition from videos</td> +<td style="text-align:left">University of Lyon</td> +<td style="text-align:left">France</td> +<td style="text-align:left">edu</td> +</tr> +</tbody> +</table> +<h2>Code</h2> +<pre><code class="lang-python">#!/usr/bin/python + +import numpy as np +from sklearn.datasets import fetch_lfw_people +import imageio +import imutils + +# download LFW dataset (first run takes a while) +lfw_people = fetch_lfw_people(min_faces_per_person=1, resize=1, color=True, funneled=False) + +# introspect dataset +n_samples, h, w, c = lfw_people.images.shape +print('{:,} images at {}x{}'.format(n_samples, w, h)) +cols, rows = (176, 76) +n_ims = cols * rows + +# build montages +im_scale = 0.5 +ims = lfw_people.images[:n_ims +montages = imutils.build_montages(ims, (int(w*im_scale, int(h*im_scale)), (cols, rows)) +montage = montages[0] + +# save full montage image +imageio.imwrite('lfw_montage_full.png', montage) + +# make a smaller version +montage_960 = imutils.resize(montage, width=960) +imageio.imwrite('lfw_montage_960.jpg', montage_960) +</code></pre> +<h2>Disclaimer</h2> +<p>MegaPixels is an educational art project designed to encourage discourse about facial recognition datasets. Any ethical or legal issues should be directed to the researcher's parent organizations. Except where necessary for contact or clarity, the names of researchers have been subsituted by their parent organization. In no way does this project aim to villify researchers who produced the datasets.</p> +<p>Read more about <a href="about/code-of-conduct">MegaPixels Code of Conduct</a></p> +<div class="footnotes"> +<hr> +<ol></ol> +</div> +</section> + + </div> + <footer> + <div> + <a href="/">MegaPixels.cc</a> + <a href="/about/disclaimer/">Disclaimer</a> + <a href="/about/terms/">Terms of Use</a> + <a href="/about/privacy/">Privacy</a> + <a href="/about/">About</a> + <a href="/about/team/">Team</a> + </div> + <div> + MegaPixels ©2017-19 Adam R. Harvey / + <a href="https://ahprojects.com">ahprojects.com</a> + </div> + </footer> +</body> + +<script src="/assets/js/app/site.js"></script> +</html>
\ No newline at end of file diff --git a/site/public/datasets/lfw/what/index.html b/site/public/datasets/lfw/what/index.html new file mode 100644 index 00000000..ceafb35a --- /dev/null +++ b/site/public/datasets/lfw/what/index.html @@ -0,0 +1,142 @@ +<!doctype html> +<html> +<head> + <title>MegaPixels</title> + <meta charset="utf-8" /> + <meta name="author" content="Adam Harvey" /> + <meta name="description" content="LFW: Labeled Faces in The Wild" /> + <meta name="referrer" content="no-referrer" /> + <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" /> + <link rel='stylesheet' href='/assets/css/fonts.css' /> + <link rel='stylesheet' href='/assets/css/css.css' /> +</head> +<body> + <header> + <a class='slogan' href="/"> + <div class='logo'></div> + <div class='site_name'>MegaPixels</div> + <span class='sub'>The Darkside of Datasets</span> + </a> + <div class='links'> + <a href="/search/">Face Search</a> + <a href="/datasets/">Datasets</a> + <a href="/research/">Research</a> + <a href="/about/">About</a> + </div> + </header> + <div class="content"> + + <section><h1>Labeled Faces in The Wild</h1> +<ul> +<li>Created 2007 (auto)</li> +<li>Images 13,233 (auto)</li> +<li>People 5,749 (auto)</li> +<li>Created From Yahoo News images (auto)</li> +<li>Analyzed and searchable (auto)</li> +</ul> +<p><em>Labeled Faces in The Wild</em> is amongst the most widely used facial recognition training datasets in the world and is the first facial recognition dataset [^lfw_names_faces] of its kind to be created entirely from Internet photos. It includes 13,233 images of 5,749 people that appeared on Yahoo News between 2002 - 2004.</p> +</section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/lfw/assets/lfw_grid_preview.jpg' alt='Eight out of 5,749 people in the Labeled Faces in the Wild dataset. The face recognition training dataset is created entirely from photos downloaded from the Internet.'><div class='caption'>Eight out of 5,749 people in the Labeled Faces in the Wild dataset. The face recognition training dataset is created entirely from photos downloaded from the Internet.</div></div></section><section><h2>INTRO</h2> +<p>It began in 2002. Researchers at University of Massachusetts Amherst were developing algorithms for facial recognition and they needed more data. Between 2002-2004 they scraped Yahoo News for images of public figures. Two years later they cleaned up the dataset and repackaged it as Labeled Faces in the Wild (LFW).</p> +<p>Since then the LFW dataset has become one of the most widely used datasets used for evaluating face recognition algorithms. The associated research paper “Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments” has been cited 996 times reaching 45 different countries throughout the world.</p> +<p>The faces come from news stories and are mostly celebrities from the entertainment industry, politicians, and villains. It’s a sampling of current affairs and breaking news that has come to pass. The images, detached from their original context now server a new purpose: to train, evaluate, and improve facial recognition.</p> +<p>As the most widely used facial recognition dataset, it can be said that each individual in LFW has, in a small way, contributed to the current state of the art in facial recognition surveillance. John Cusack, Julianne Moore, Barry Bonds, Osama bin Laden, and even Moby are amongst these biometric pillars, exemplar faces provided the visual dimensions of a new computer vision future.</p> +</section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/lfw/assets/lfw_a_to_c.jpg' alt='From Aaron Eckhart to Zydrunas Ilgauskas. A small sampling of the LFW dataset'><div class='caption'>From Aaron Eckhart to Zydrunas Ilgauskas. A small sampling of the LFW dataset</div></div></section><section><p>In addition to commercial use as an evaluation tool, all of the faces in LFW dataset are prepackaged into a popular machine learning code framework called scikit-learn.</p> +<h2>Usage</h2> +<pre><code class="lang-python">#!/usr/bin/python +from matplotlib import plt +from sklearn.datasets import fetch_lfw_people +lfw_people = fetch_lfw_people() +lfw_person = lfw_people[0] +plt.imshow(lfw_person) +</code></pre> +<h2>Commercial Use</h2> +<p>The LFW dataset is used by numerous companies for benchmarking algorithms and in some cases training. According to the benchmarking results page [^lfw_results] provided by the authors, over 2 dozen companies have contributed their benchmark results</p> +<pre><code>load file: lfw_commercial_use.csv +name_display,company_url,example_url,country,description +</code></pre> +<table> +<thead><tr> +<th style="text-align:left">Company</th> +<th style="text-align:left">Country</th> +<th style="text-align:left">Industries</th> +</tr> +</thead> +<tbody> +<tr> +<td style="text-align:left"><a href="http://www.aratek.co">Aratek</a></td> +<td style="text-align:left">China</td> +<td style="text-align:left">Biometric sensors for telecom, civil identification, finance, education, POS, and transportation</td> +</tr> +<tr> +<td style="text-align:left"><a href="http://www.aratek.co">Aratek</a></td> +<td style="text-align:left">China</td> +<td style="text-align:left">Biometric sensors for telecom, civil identification, finance, education, POS, and transportation</td> +</tr> +<tr> +<td style="text-align:left"><a href="http://www.aratek.co">Aratek</a></td> +<td style="text-align:left">China</td> +<td style="text-align:left">Biometric sensors for telecom, civil identification, finance, education, POS, and transportation</td> +</tr> +</tbody> +</table> +<p>Add 2-4 screenshots of companies mentioning LFW here</p> +</section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/lfw/assets/lfw_screenshot_01.png' alt='ReadSense'><div class='caption'>ReadSense</div></div></section><section><p>In benchmarking, companies use a dataset to evaluate their algorithms which are typically trained on other data. After training, researchers will use LFW as a benchmark to compare results with other algorithms.</p> +<p>For example, Baidu (est. net worth $13B) uses LFW to report results for their "Targeting Ultimate Accuracy: Face Recognition via Deep Embedding". According to the three Baidu researchers who produced the paper:</p> +<blockquote><p>LFW has been the most popular evaluation benchmark for face recognition, and played a very important role in facilitating the face recognition society to improve algorithm. <sup class="footnote-ref" id="fnref-baidu_lfw"><a href="#fn-baidu_lfw">1</a></sup>.</p> +</blockquote> +<h2>Citations</h2> +<table> +<thead><tr> +<th style="text-align:left">Title</th> +<th style="text-align:left">Organization</th> +<th style="text-align:left">Country</th> +<th style="text-align:left">Type</th> +</tr> +</thead> +<tbody> +<tr> +<td style="text-align:left">3D-aided face recognition from videos</td> +<td style="text-align:left">University of Lyon</td> +<td style="text-align:left">France</td> +<td style="text-align:left">edu</td> +</tr> +<tr> +<td style="text-align:left">A Community Detection Approach to Cleaning Extremely Large Face Database</td> +<td style="text-align:left">National University of Defense Technology, China</td> +<td style="text-align:left">China</td> +<td style="text-align:left">edu</td> +</tr> +</tbody> +</table> +<h2>Conclusion</h2> +<p>The LFW face recognition training and evaluation dataset is a historically important face dataset as it was the first popular dataset to be created entirely from Internet images, paving the way for a global trend towards downloading anyone’s face from the Internet and adding it to a dataset. As will be evident with other datasets, LFW’s approach has now become the norm.</p> +<p>For all the 5,000 people in this datasets, their face is forever a part of facial recognition history. It would be impossible to remove anyone from the dataset because it is so ubiquitous. For their rest of the lives and forever after, these 5,000 people will continue to be used for training facial recognition surveillance.</p> +<h2>Notes</h2> +<p>According to BiometricUpdate.com<sup class="footnote-ref" id="fnref-biometric_update_lfw"><a href="#fn-biometric_update_lfw">2</a></sup>, 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."</p> +<div class="footnotes"> +<hr> +<ol><li id="fn-baidu_lfw"><p>"Chinese tourist town uses face recognition as an entry pass". New Scientist. November 17, 2016. <a href="https://www.newscientist.com/article/2113176-chinese-tourist-town-uses-face-recognition-as-an-entry-pass/">https://www.newscientist.com/article/2113176-chinese-tourist-town-uses-face-recognition-as-an-entry-pass/</a><a href="#fnref-baidu_lfw" class="footnote">↩</a></p></li> +<li id="fn-biometric_update_lfw"><p>"PING AN Tech facial recognition receives high score in latest LFW test results". <a href="https://www.biometricupdate.com/201702/ping-an-tech-facial-recognition-receives-high-score-in-latest-lfw-test-results">https://www.biometricupdate.com/201702/ping-an-tech-facial-recognition-receives-high-score-in-latest-lfw-test-results</a><a href="#fnref-biometric_update_lfw" class="footnote">↩</a></p></li> +</ol> +</div> +</section> + + </div> + <footer> + <div> + <a href="/">MegaPixels.cc</a> + <a href="/about/disclaimer/">Disclaimer</a> + <a href="/about/terms/">Terms of Use</a> + <a href="/about/privacy/">Privacy</a> + <a href="/about/">About</a> + <a href="/about/team/">Team</a> + </div> + <div> + MegaPixels ©2017-19 Adam R. Harvey / + <a href="https://ahprojects.com">ahprojects.com</a> + </div> + </footer> +</body> + +<script src="/assets/js/app/site.js"></script> +</html>
\ No newline at end of file diff --git a/site/public/datasets/vgg_face2/index.html b/site/public/datasets/vgg_face2/index.html new file mode 100644 index 00000000..24a1059b --- /dev/null +++ b/site/public/datasets/vgg_face2/index.html @@ -0,0 +1,84 @@ +<!doctype html> +<html> +<head> + <title>MegaPixels</title> + <meta charset="utf-8" /> + <meta name="author" content="Adam Harvey" /> + <meta name="description" content="A large scale image dataset for face recognition" /> + <meta name="referrer" content="no-referrer" /> + <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" /> + <link rel='stylesheet' href='/assets/css/fonts.css' /> + <link rel='stylesheet' href='/assets/css/css.css' /> +</head> +<body> + <header> + <a class='slogan' href="/"> + <div class='logo'></div> + <div class='site_name'>MegaPixels</div> + <span class='sub'>The Darkside of Datasets</span> + </a> + <div class='links'> + <a href="/search/">Face Search</a> + <a href="/datasets/">Datasets</a> + <a href="/research/">Research</a> + <a href="/about/">About</a> + </div> + </header> + <div class="content"> + + <section><h1>VGG Faces2</h1> +</section><section><div class='meta'><div><div class='gray'>Created</div><div>2018</div></div><div><div class='gray'>Images</div><div>3.3M</div></div><div><div class='gray'>People</div><div>9,000</div></div><div><div class='gray'>Created From</div><div>Scraping search engines</div></div><div><div class='gray'>Search available</div><div>[Searchable](#)</div></div></div></section><section><p>VGG Face2 is the updated version of the VGG Face dataset and now includes over 3.3M face images from over 9K people. The identities were selected by taking the top 500K identities in Google's Knowledge Graph of celebrities and then selecting only the names that yielded enough training images. The dataset was created in the UK but funded by Office of Director of National Intelligence in the United States.</p> +<p>{INSERT IMAGE SEARCH MODULE}</p> +<p>{INSERT TEXT SEARCH MODULE}</p> +<pre><code>load file: lfw_names_gender_kg_min.csv +Name, Images, Gender, Description +</code></pre> +<h2>VGG Face2 by the Numbers</h2> +<ul> +<li>1,331 actresses, 139 presidents</li> +<li>3 husbands and 16 wives</li> +<li>2 snooker player</li> +<li>1 guru</li> +<li>1 pornographic actress</li> +<li>3 computer programmer</li> +</ul> +<h1>Names and descriptions</h1> +<ul> +<li>The original VGGF2 name list has been updated with the results returned from Google Knowledge</li> +<li>Names with a similarity score greater than 0.75 where automatically updated. Scores computed using <code>import difflib; seq = difflib.SequenceMatcher(a=a.lower(), b=b.lower()); score = seq.ratio()</code></li> +<li>The 97 names with a score of 0.75 or lower were manually reviewed and includes name changes validating using Wikipedia.org results for names such as "Bruce Jenner" to "Caitlyn Jenner", spousal last-name changes, and discretionary changes to improve search results such as combining nicknames with full name when appropriate, for example changing "Aleksandar Petrović" to "Aleksandar 'Aco' Petrović" and minor changes such as "Mohammad Ali" to "Muhammad Ali"</li> +<li>The 'Description` text was automatically added when the Knowledge Graph score was greater than 250</li> +</ul> +<h1>TODO</h1> +<ul> +<li>create name list, and populate with Knowledge graph information like LFW</li> +<li>make list of interesting number stats, by the numbers</li> +<li>make list of interesting important facts</li> +<li>write intro abstract</li> +<li>write analysis of usage</li> +<li>find examples, citations, and screenshots of useage</li> +<li>find list of companies using it for table</li> +<li>create montages of the dataset, like LFW</li> +<li>create right to removal information</li> +</ul> +</section> + + </div> + <footer> + <div> + <a href="/">MegaPixels.cc</a> + <a href="/about/disclaimer/">Disclaimer</a> + <a href="/about/terms/">Terms of Use</a> + <a href="/about/privacy/">Privacy</a> + <a href="/about/">About</a> + <a href="/about/team/">Team</a> + </div> + <div> + MegaPixels ©2017-19 Adam R. Harvey / + <a href="https://ahprojects.com">ahprojects.com</a> + </div> + </footer> +</body> + +<script src="/assets/js/app/site.js"></script> +</html>
\ No newline at end of file diff --git a/site/public/datasets/vgg_faces2/index.html b/site/public/datasets/vgg_faces2/index.html new file mode 100644 index 00000000..3f778f71 --- /dev/null +++ b/site/public/datasets/vgg_faces2/index.html @@ -0,0 +1,63 @@ +<!doctype html> +<html> +<head> + <title>MegaPixels</title> + <meta charset="utf-8" /> + <meta name="author" content="Adam Harvey" /> + <meta name="description" content="" /> + <meta name="referrer" content="no-referrer" /> + <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" /> + <link rel='stylesheet' href='/assets/css/fonts.css' /> + <link rel='stylesheet' href='/assets/css/css.css' /> +</head> +<body> + <header> + <a class='slogan' href="/"> + <div class='logo'></div> + <div class='site_name'>MegaPixels</div> + <span class='sub'>The Darkside of Datasets</span> + </a> + <div class='links'> + <a href="/search/">Face Search</a> + <a href="/datasets/">Datasets</a> + <a href="/research/">Research</a> + <a href="/about/">About</a> + </div> + </header> + <div class="content"> + + <section><h1>Labeled Faces in The Wild</h1> +</section><section><div class='meta'><div><div class='gray'>Created</div><div>2007</div></div><div><div class='gray'>Images</div><div>13,233</div></div><div><div class='gray'>People</div><div>5,749</div></div><div><div class='gray'>Created From</div><div>Yahoo News images</div></div><div><div class='gray'>Search available</div><div>[Searchable](#)</div></div></div></section><section><p>Labeled Faces in The Wild is amongst the most widely used facial recognition training datasets in the world and is the first dataset of its kind to be created entirely from Internet photos. It includes 13,233 images of 5,749 people downloaded from the Internet, otherwise referred to by researchers as “The Wild”.</p> +<h2>INTRO</h2> +<p>It began in 2002. Researchers at University of Massachusetts Amherst were developing algorithms for facial recognition and they needed more data. Between 2002-2004 they scraped Yahoo News for images of public figures. Two years later they cleaned up the dataset and repackaged it as Labeled Faces in the Wild (LFW).</p> +<p>Since then the LFW dataset has become one of the most widely used datasets used for evaluating face recognition algorithms. The associated research paper “Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments” has been cited 996 times reaching 45 different countries throughout the world.</p> +<p>The faces come from news stories and are mostly celebrities from the entertainment industry, politicians, and villains. It’s a sampling of current affairs and breaking news that has come to pass. The images, detached from their original context now server a new purpose: to train, evaluate, and improve facial recognition.</p> +<p>As the most widely used facial recognition dataset, it can be said that each individual in LFW has, in a small way, contributed to the current state of the art in facial recognition surveillance. John Cusack, Julianne Moore, Barry Bonds, Osama bin Laden, and even Moby are amongst these biometric pillars, exemplar faces provided the visual dimensions of a new computer vision future.</p> +<h2>Commercial Use</h2> +<p>The dataset is used by numerous companies for benchmarking algorithms. According to the benchmarking results page <sup class="footnote-ref" id="fnref-lfw_results"><a href="#fn-lfw_results">1</a></sup> provided by the authors, there over 2 dozen commercial uses of the LFW face dataset.</p> +<div class="footnotes"> +<hr> +<ol><li id="fn-lfw_results"><p>"LFW Results". Accessed Dec 3, 2018. <a href="http://vis-www.cs.umass.edu/lfw/results.html">http://vis-www.cs.umass.edu/lfw/results.html</a><a href="#fnref-lfw_results" class="footnote">↩</a></p></li> +</ol> +</div> +</section> + + </div> + <footer> + <div> + <a href="/">MegaPixels.cc</a> + <a href="/about/disclaimer/">Disclaimer</a> + <a href="/about/terms/">Terms of Use</a> + <a href="/about/privacy/">Privacy</a> + <a href="/about/">About</a> + <a href="/about/team/">Team</a> + </div> + <div> + MegaPixels ©2017-19 Adam R. Harvey / + <a href="https://ahprojects.com">ahprojects.com</a> + </div> + </footer> +</body> + +<script src="/assets/js/app/site.js"></script> +</html>
\ No newline at end of file diff --git a/site/public/index.html b/site/public/index.html new file mode 100644 index 00000000..91ff467a --- /dev/null +++ b/site/public/index.html @@ -0,0 +1,78 @@ +<!doctype html> +<html> +<head> + <title>MegaPixels</title> + <meta charset="utf-8" /> + <meta name="author" content="Adam Harvey" /> + <meta name="description" content="" /> + <meta name="referrer" content="no-referrer" /> + <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" /> + <link rel='stylesheet' href='/assets/css/fonts.css' /> + <link rel='stylesheet' href='/assets/css/css.css' /> +</head> +<body> + <header> + <a class='slogan' href="/"> + <div class='logo'></div> + <div class='site_name'>MegaPixels</div> + <span class='sub'>The Darkside of Datasets</span> + </a> + <div class='links'> + <a href="/search/">Face Search</a> + <a href="/datasets/">Datasets</a> + <a href="/research/">Research</a> + <a href="/about/">About</a> + </div> + </header> + <div class="content"> + + <div class='hero'> + <div id="face_container"> + <div class='currentFace'></div> + </div> + <div class='intro'> + <div class='headline'> + MegaPixels is an art project that explores the dark side of face recognition and the future of computer vision. + </div> + + <div class='buttons'> + <a href="/datasets/"><button class='important'>Explore Datasets</button></a><a href="/analyze/"><button class='normal'>Analyze Your Face</button></a> + </div> + + <div class='under'> + Made by Adam Harvey in partnership with Mozilla.<br/> + <a href='/about/'>Read more about MegaPixels</a> + </div> + </div> + </div> + + <section><h2>Facial Recognition Datasets</h2> +<p>Regular Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.</p> +<h3>Summary</h3> +</section><section><div class='meta'><div><div class='gray'>Found</div><div>275 datasets</div></div><div><div class='gray'>Created between</div><div>1993-2018</div></div><div><div class='gray'>Smallest dataset</div><div>20 images</div></div><div><div class='gray'>Largest dataset</div><div>10,000,000 images</div></div></div></section><section><div class='meta'><div><div class='gray'>Highest resolution faces</div><div>450x500 (Unconstrained College Students)</div></div><div><div class='gray'>Lowest resolution faces</div><div>16x20 pixels (QMUL SurvFace)</div></div></div></section><section></section> + + + </div> + <footer> + <div> + <a href="/">MegaPixels.cc</a> + <a href="/about/disclaimer/">Disclaimer</a> + <a href="/about/terms/">Terms of Use</a> + <a href="/about/privacy/">Privacy</a> + <a href="/about/">About</a> + <a href="/about/team/">Team</a> + </div> + <div> + MegaPixels ©2017-19 Adam R. Harvey / + <a href="https://ahprojects.com">ahprojects.com</a> + </div> + </footer> +</body> + +<script src="/assets/js/vendor/three.min.js"></script> +<script src="/assets/js/vendor/three.meshline.js"></script> +<script src="/assets/js/vendor/oktween.js"></script> +<script src="/assets/js/app/face.js"></script> + +<script src="/assets/js/app/site.js"></script> +</html>
\ No newline at end of file diff --git a/site/public/research/00_introduction/index.html b/site/public/research/00_introduction/index.html new file mode 100644 index 00000000..8f598f5b --- /dev/null +++ b/site/public/research/00_introduction/index.html @@ -0,0 +1,86 @@ +<!doctype html> +<html> +<head> + <title>MegaPixels</title> + <meta charset="utf-8" /> + <meta name="author" content="Adam Harvey" /> + <meta name="description" content="" /> + <meta name="referrer" content="no-referrer" /> + <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" /> + <link rel='stylesheet' href='/assets/css/fonts.css' /> + <link rel='stylesheet' href='/assets/css/css.css' /> +</head> +<body> + <header> + <a class='slogan' href="/"> + <div class='logo'></div> + <div class='site_name'>MegaPixels</div> + <span class='sub'>The Darkside of Datasets</span> + </a> + <div class='links'> + <a href="/search/">Face Search</a> + <a href="/datasets/">Datasets</a> + <a href="/research/">Research</a> + <a href="/about/">About</a> + </div> + </header> + <div class="content"> + + <section> + <h1>Untitled Page</h1> + <div class='meta'> + <div> + <div class='gray'>Posted</div> + <div>2018-12-31</div> + </div> + <div> + <div class='gray'>By</div> + <div>Adam Harvey</div> + </div> + + </div> + </section> + + <section><p>It was the early 2000s. Face recognition was new and no one seemed sure exactly how well it was going to perform in practice. In theory, face recognition was poised to be a game changer, a force multiplier, a strategic military advantage, a way to make cities safer and to secure borders. This was the future John Ashcroft demanded with the Total Information Awareness act of the 2003 and that spooks had dreamed of for decades. It was a future that academics at Carnegie Mellon Universtiy and Colorado State University would help build. It was also a future that celebrities would play a significant role in building. And to the surprise of ordinary Internet users like myself and perhaps you, it was a future that millions of Internet users would unwittingly play role in creating.</p> +<p>Now the future has arrived and it doesn't make sense. Facial recognition works yet it doesn't actually work. Facial recognition is cheap and accessible but also expensive and out of control. Facial recognition research has achieved headline grabbing superhuman accuracies over 99.9% yet facial recognition is also dangerously inaccurate. During a trial installation at Sudkreuz station in Berlin in 2018, 20% of the matches were wrong, a number so low that it should not have any connection to law enforcement or justice. And in London, the Metropolitan police had been using facial recognition software that mistakenly identified an alarming 98% of people as criminals <sup class="footnote-ref" id="fnref-met_police"><a href="#fn-met_police">1</a></sup>, which perhaps is a crime itself.</p> +<p>MegaPixels is an online art project that explores the history of facial recognition from the perspective of datasets. To paraphrase the artist Trevor Paglen, whoever controls the dataset controls the meaning. MegaPixels aims to unravel the meanings behind the data and expose the darker corners of the biometric industry that have contributed to its growth. MegaPixels does not start with a conclusion, a moralistic slant, or a</p> +<p>Whether or not to build facial recognition was a question that can no longer be asked. As an outspoken critic of face recognition I've developed, and hopefully furthered, my understanding during the last 10 years I've spent working with computer vision. Though I initially disagreed, I've come to see technocratic perspective as a non-negotiable reality. As Oren (nytimes article) wrote in NYT Op-Ed "the horse is out of the barn" and the only thing we can do collectively or individually is to steer towards the least worse outcome. Computational communication has entered a new era and it's both exciting and frightening to explore the potentials and opportunities. In 1997 getting access to 1 teraFLOPS of computational power would have cost you $55 million and required a strategic partnership with the Department of Defense. At the time of writing, anyone can rent 1 teraFLOPS on a cloud GPU marketplace for less than $1/day. <sup class="footnote-ref" id="fnref-asci_option_red"><a href="#fn-asci_option_red">2</a></sup>.</p> +<p>I hope that this project will illuminate the darker areas of strange world of facial recognition that have not yet received attention and encourage discourse in academic, industry, and . By no means do I believe discourse can save the day. Nor do I think creating artwork can. In fact, I'm not exactly sure what the outcome of this project will be. The project is not so much what I publish here but what happens after. This entire project is only a prologue.</p> +<p>As McLuhan wrote, "You can't have a static, fixed position in the electric age". And in our hyper-connected age of mass surveillance, artificial intelligece, and unevenly distributed virtual futures the most irrational thing to be is rational. Increasingly the world is becoming a contradiction where people use surveillance to protest surveillance, use</p> +<p>Like many projects, MegaPixels had spent years meandering between formats, unfeasible budgets, and was generally too niche of a subject. The basic idea for this project, as proposed to the original <a href="https://tacticaltech.org/projects/the-glass-room-nyc/">Glass Room</a> installation in 2016 in NYC, was to build an interactive mirror that showed people if they had been included in the <a href="/datasets/lfw">LFW</a> facial recognition dataset. The idea was based on my reaction to all the datasets I'd come across during research for the CV Dazzle project. I'd noticed strange datasets created for training and testing face detection algorithms. Most were created in labratory settings and their interpretation of face data was very strict.</p> +<p>About the name</p> +<p>About the funding</p> +<p>About me</p> +<p>About the team</p> +<p>Conclusion</p> +<h2>for other post</h2> +<p>It was the early 2000s. Face recognition was new and no one seemed sure how well it was going to perform in practice. In theory, face recognition was poised to be a game changer, a force multiplier, a strategic military advantage, a way to make cities safer and to secure the borders. It was the future that John Ashcroft demanded with the Total Information Awareness act of the 2003. It was a future that academics helped build. It was a future that celebrities helped build. And it was a future that</p> +<p>A decade earlier the Department of Homeland Security and the Counterdrug Technology Development Program Office initated a feasibilty study called FERET (FacE REcognition Technology) to "develop automatic face recognition capabilities that could be employed to assist security, intelligence, and law enforcement personnel in the performance of their duties [^feret_website]."</p> +<p>One problem with FERET dataset was that the photos were in controlled settings. For face recognition to work it would have to be used in uncontrolled settings. Even newer datasets such as the Multi-PIE (Pose, Illumination, and Expression) from Carnegie Mellon University included only indoor photos of cooperative subjects. Not only were the photos completely unrealistic, CMU's Multi-Pie included only 18 individuals and cost $500 for academic use [^cmu_multipie_cost], took years to create, and required consent from every participant.</p> +<div class="footnotes"> +<hr> +<ol><li id="fn-met_police"><p>Sharman, Jon. "Metropolitan Police's facial recognition technology 98% inaccurate, figures show". 2018. <a href="https://www.independent.co.uk/news/uk/home-news/met-police-facial-recognition-success-south-wales-trial-home-office-false-positive-a8345036.html">https://www.independent.co.uk/news/uk/home-news/met-police-facial-recognition-success-south-wales-trial-home-office-false-positive-a8345036.html</a><a href="#fnref-met_police" class="footnote">↩</a></p></li> +<li id="fn-asci_option_red"><p>Calle, Dan. "Supercomptuers". 1997. <a href="http://ei.cs.vt.edu/~history/SUPERCOM.Calle.HTML">http://ei.cs.vt.edu/~history/SUPERCOM.Calle.HTML</a><a href="#fnref-asci_option_red" class="footnote">↩</a></p></li> +</ol> +</div> +</section> + + </div> + <footer> + <div> + <a href="/">MegaPixels.cc</a> + <a href="/about/disclaimer/">Disclaimer</a> + <a href="/about/terms/">Terms of Use</a> + <a href="/about/privacy/">Privacy</a> + <a href="/about/">About</a> + <a href="/about/team/">Team</a> + </div> + <div> + MegaPixels ©2017-19 Adam R. Harvey / + <a href="https://ahprojects.com">ahprojects.com</a> + </div> + </footer> +</body> + +<script src="/assets/js/app/site.js"></script> +</html>
\ No newline at end of file diff --git a/site/public/research/01_from_1_to_100_pixels/index.html b/site/public/research/01_from_1_to_100_pixels/index.html new file mode 100644 index 00000000..b4c85d00 --- /dev/null +++ b/site/public/research/01_from_1_to_100_pixels/index.html @@ -0,0 +1,95 @@ +<!doctype html> +<html> +<head> + <title>MegaPixels</title> + <meta charset="utf-8" /> + <meta name="author" content="Adam Harvey" /> + <meta name="description" content="High resolution insights from low resolution imagery" /> + <meta name="referrer" content="no-referrer" /> + <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" /> + <link rel='stylesheet' href='/assets/css/fonts.css' /> + <link rel='stylesheet' href='/assets/css/css.css' /> +</head> +<body> + <header> + <a class='slogan' href="/"> + <div class='logo'></div> + <div class='site_name'>MegaPixels</div> + <span class='sub'>The Darkside of Datasets</span> + </a> + <div class='links'> + <a href="/search/">Face Search</a> + <a href="/datasets/">Datasets</a> + <a href="/research/">Research</a> + <a href="/about/">About</a> + </div> + </header> + <div class="content"> + + <section> + <h1>From 1 to 100 Pixels</h1> + <div class='meta'> + <div> + <div class='gray'>Posted</div> + <div>2018-12-04</div> + </div> + <div> + <div class='gray'>By</div> + <div>Adam Harvey</div> + </div> + + </div> + </section> + + <section><h2>High resolution insights from low resolution data</h2> +<p>This post will be about the meaning of "face". How do people define it? How to biometrics researchers define it? How has it changed during the last decade.</p> +<p>What can you know from a very small amount of information?</p> +<ul> +<li>1 pixel grayscale</li> +<li>2x2 pixels grayscale, font example</li> +<li>4x4 pixels</li> +<li>8x8 yotta yotta</li> +<li>5x7 face recognition</li> +<li>12x16 activity recognition</li> +<li>6/5 (up to 124/106) pixels in height/width, and the average is 24/20 for QMUL SurvFace</li> +<li>20x16 tiny faces paper</li> +<li>20x20 MNIST handwritten images <a href="http://yann.lecun.com/exdb/mnist/">http://yann.lecun.com/exdb/mnist/</a></li> +<li>24x24 haarcascade detector idealized images</li> +<li>32x32 CIFAR image dataset</li> +<li>40x40 can do emotion detection, face recognition at scale, 3d modeling of the face. include datasets with faces at this resolution including pedestrian.</li> +<li>need more material from 60-100</li> +<li>60x60 show how texture emerges and pupils, eye color, higher resolution of features and compare to lower resolution faces</li> +<li>100x100 0.5% of one Instagram photo</li> +</ul> +<p>Find specific cases of facial resolution being used in legal cases, forensic investigations, or military footage</p> +<p>Research</p> +<ul> +<li>NIST report on sres states several resolutions</li> +<li>"Results show that the tested face recognition systems yielded similar performance for query sets with eye-to-eye distance from 60 pixels to 30 pixels" <sup class="footnote-ref" id="fnref-nist_sres"><a href="#fn-nist_sres">1</a></sup></li> +</ul> +<div class="footnotes"> +<hr> +<ol><li id="fn-nist_sres"><p>NIST 906932. Performance Assessment of Face Recognition Using Super-Resolution. Shuowen Hu, Robert Maschal, S. Susan Young, Tsai Hong Hong, Jonathon P. Phillips<a href="#fnref-nist_sres" class="footnote">↩</a></p></li> +</ol> +</div> +</section> + + </div> + <footer> + <div> + <a href="/">MegaPixels.cc</a> + <a href="/about/disclaimer/">Disclaimer</a> + <a href="/about/terms/">Terms of Use</a> + <a href="/about/privacy/">Privacy</a> + <a href="/about/">About</a> + <a href="/about/team/">Team</a> + </div> + <div> + MegaPixels ©2017-19 Adam R. Harvey / + <a href="https://ahprojects.com">ahprojects.com</a> + </div> + </footer> +</body> + +<script src="/assets/js/app/site.js"></script> +</html>
\ No newline at end of file diff --git a/site/public/research/from_1_to_100_pixels/index.html b/site/public/research/from_1_to_100_pixels/index.html new file mode 100644 index 00000000..751e885b --- /dev/null +++ b/site/public/research/from_1_to_100_pixels/index.html @@ -0,0 +1,101 @@ +<!doctype html> +<html> +<head> + <title>MegaPixels</title> + <meta charset="utf-8" /> + <meta name="author" content="Adam Harvey<br> Berit Gilma<br> Matthew Stender" /> + <meta name="description" content="High resolution insights from low resolution imagery" /> + <meta name="referrer" content="no-referrer" /> + <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" /> + <link rel='stylesheet' href='/assets/css/fonts.css' /> + <link rel='stylesheet' href='/assets/css/css.css' /> +</head> +<body> + <header> + <a class='slogan' href="/"> + <div class='logo'></div> + <div class='site_name'>MegaPixels</div> + <span class='sub'>The Darkside of Datasets</span> + </a> + <div class='links'> + <a href="/search">Face Search</a> + <a href="/datasets">Datasets</a> + <a href="/research/from_1_to_100_pixels/">Research</a> + <a href="/about">About</a> + </div> + </header> + <div class="content"> + + <section> + <h1>From 1 to 100 Pixels</h1> + <div class='meta'> + <div> + <div class='gray'>Posted</div> + <div>2018-12-04</div> + </div> + <div> + <div class='gray'>By</div> + <div>Adam Harvey<br> Berit Gilma<br> Matthew Stender</div> + </div> + + </div> + </section> + + <section><h2>High resolution insights from low resolution data</h2> +<p>This post will be about the meaning of "face". How do people define it? How to biometrics researchers define it? How has it changed during the last decade.</p> +<p>What can you know from a very small amount of information?</p> +<ul> +<li>1 pixel grayscale</li> +<li>2x2 pixels grayscale, font example</li> +<li>4x4 pixels</li> +<li>8x8 yotta yotta</li> +<li>5x7 face recognition</li> +<li>12x16 activity recognition</li> +<li>6/5 (up to 124/106) pixels in height/width, and the average is 24/20 for QMUL SurvFace</li> +<li>20x16 tiny faces paper</li> +<li>20x20 MNIST handwritten images <a href="http://yann.lecun.com/exdb/mnist/">http://yann.lecun.com/exdb/mnist/</a></li> +<li>24x24 haarcascade detector idealized images</li> +<li>32x32 CIFAR image dataset</li> +<li>40x40 can do emotion detection, face recognition at scale, 3d modeling of the face. include datasets with faces at this resolution including pedestrian.</li> +<li>need more material from 60-100</li> +<li>60x60 show how texture emerges and pupils, eye color, higher resolution of features and compare to lower resolution faces</li> +<li>100x100 0.5% of one Instagram photo</li> +</ul> +<p>Find specific cases of facial resolution being used in legal cases, forensic investigations, or military footage</p> +<p>Research</p> +<ul> +<li>NIST report on sres states several resolutions</li> +<li>"Results show that the tested face recognition systems yielded similar performance for query sets with eye-to-eye distance from 60 pixels to 30 pixels" <sup class="footnote-ref" id="fnref-nist_sres"><a href="#fn-nist_sres">1</a></sup></li> +</ul> +<div class="footnotes"> +<hr> +<ol><li id="fn-nist_sres"><p>NIST 906932. Performance Assessment of Face Recognition Using Super-Resolution. Shuowen Hu, Robert Maschal, S. Susan Young, Tsai Hong Hong, Jonathon P. Phillips<a href="#fnref-nist_sres" class="footnote">↩</a></p></li> +</ol> +</div> +</section> + + <section> + <h3>MORE RESEARCH</h3> + <div class='blogposts'> + + </div> + </section> + + </div> + <footer> + <div> + <a href="/">MegaPixels.cc</a> + <a href="/about/disclaimer/">Disclaimer</a> + <a href="/about/terms/">Terms of Use</a> + <a href="/about/privacy/">Privacy</a> + <a href="/about/">About</a> + <a href="/about/team/">Team</a> + </div> + <div> + MegaPixels ©2017-19 Adam R. Harvey / + <a href="https://ahprojects.com">ahprojects.com</a> + </div> + </footer> +</body> +<script src="/assets/js/app/site.js"></script> +</html>
\ No newline at end of file diff --git a/site/public/research/index.html b/site/public/research/index.html new file mode 100644 index 00000000..59a5fee9 --- /dev/null +++ b/site/public/research/index.html @@ -0,0 +1,51 @@ +<!doctype html> +<html> +<head> + <title>MegaPixels</title> + <meta charset="utf-8" /> + <meta name="author" content="Adam Harvey" /> + <meta name="description" content="Research blog" /> + <meta name="referrer" content="no-referrer" /> + <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" /> + <link rel='stylesheet' href='/assets/css/fonts.css' /> + <link rel='stylesheet' href='/assets/css/css.css' /> +</head> +<body> + <header> + <a class='slogan' href="/"> + <div class='logo'></div> + <div class='site_name'>MegaPixels</div> + <span class='sub'>The Darkside of Datasets</span> + </a> + <div class='links'> + <a href="/search/">Face Search</a> + <a href="/datasets/">Datasets</a> + <a href="/research/">Research</a> + <a href="/about/">About</a> + </div> + </header> + <div class="content"> + + <section><h1>Research Blog</h1> +<h2>The darkside of datasets and the future of computer vision</h2> +</section><div class='research_index'><a href='/research/00_introduction/'><section class='wide'><img src='data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==' alt='Research post' /><section><h1>Untitled Page</h1><h2></h2></section></section></a><a href='/research/01_from_1_to_100_pixels/'><section class='wide'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/site/research/01_from_1_to_100_pixels/assets/intro.jpg' alt='Research post' /><section><h1>From 1 to 100 Pixels</h1><h2>Photographs are for romantics. For the rest of us, it's all about data. And a photo contains a massive amount of information about who you are.</h2></section></section></a></div> + + </div> + <footer> + <div> + <a href="/">MegaPixels.cc</a> + <a href="/about/disclaimer/">Disclaimer</a> + <a href="/about/terms/">Terms of Use</a> + <a href="/about/privacy/">Privacy</a> + <a href="/about/">About</a> + <a href="/about/team/">Team</a> + </div> + <div> + MegaPixels ©2017-19 Adam R. Harvey / + <a href="https://ahprojects.com">ahprojects.com</a> + </div> + </footer> +</body> + +<script src="/assets/js/app/site.js"></script> +</html>
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