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diff --git a/site/content/pages/research/munich_security_conference/index.md b/site/content/pages/research/munich_security_conference/index.md index 29b278a9..75392dc3 100644 --- a/site/content/pages/research/munich_security_conference/index.md +++ b/site/content/pages/research/munich_security_conference/index.md @@ -5,7 +5,8 @@ title: Transnational Flows of Face Recognition Image Training Data slug: munich-security-conference desc: Transnational Flows of Face Recognition Image Training Data subdesc: Where does face data originate and who's using it? -cssclass: dataset +caption: An image from the MegaFace face recognition training dataset taken from the U.S. Embassy of Madrid Flickr account +cssclass: blog image: assets/background.jpg published: 2019-6-28 updated: 2019-6-29 @@ -13,6 +14,7 @@ authors: Adam Harvey ------------ +# Transnational Flows of Face Recognition Image Training Data *A case study on publicly available facial recognition datasets for the Munich Security Conference's Transnational Security Report* @@ -23,6 +25,7 @@ authors: Adam Harvey + Years: 2006 - 2018 + Last Updated: July 7, 2019 + Text and Research: Adam Harvey ++ Published in: <a href="https://tsr.securityconference.de/">Transnational Security Report</a> ### end sidebar @@ -32,19 +35,13 @@ Our [earlier research](https://www.ft.com/content/cf19b956-60a2-11e9-b285-3acd5d In this new research for the [Munich Security Conference's Transnational Security Report](https://tsr.securityconference.de) we provide summary statistics about the origins and endpoints of facial recognition information supply chains. To make it more personal, we gathered additional data on the number of public photos from embassies that are currently being used in facial recognition training datasets. -<div style="display:inline;" class="columns columns-1"><div class="column"><div style="background:#202020;border-radius:6px;padding:20px;width:100%"> -<h4>Key Findings</h4> - -<ul> - <li>24 million non-cooperative images were used in facial recognition research projects</li> - <li>Most data originated from US-based search engines and Flickr, but most research citations found in China</li> - <li>Over 6,000 of the images were from US, British, Italian, and French embassies (mostly US embassies)</li> - <li>Images were used for commercial research by Google (US), Microsoft (US), SenseTime (China), Tencent (China), Mitsubishi (Japan), ExpertSystems (Italy), Siren Solution (Ireland), and Paradigma Digital (Spain); and military research by National University of Defense Technology (China)</li> -</ul> - -</div></div></div> +### Key Findings +- 24 million non-cooperative images were used in facial recognition research prects +- Most data originated from US-based search engines and Flickr, but most research citations found in China +- Over 6,000 of the images were from US, British, Italian, and French embassies (mostly US embassies) +- Images were used for commercial research by Google (US), Microsoft (US), SenseTime (China), Tencent (China), Mitsubishi (Japan), ExpertSystems (Italy), Siren Solution (Ireland), and Paradigma Digital (Spain); and military research by National University of Defense Technology (China) ### 24 Million Photos @@ -73,7 +70,7 @@ OtherLabel: Other === end columns - + ### 8,428 Embassy Photos Found in Facial Recognition Datasets |