MegaPixels

About MegaPixels

MegaPixels is an independent art and research publication by Adam Harvey and Jules LaPlace that investigates the ethics, origins, and individual privacy implications of face recognition image training datasets and their role in the expansion of biometric surveillance technologies.

MegaPixels is made possible with support from Mozilla.

This project first launched in 2017 for an installation at Tactical Technology Collective's GlassRoom about face recognition datasets. Then a facial recognition kiosk, the project expanded in 2018 with a commission by Elevate Arts festival in Austria to analyze pedestrian datasets. Since then this project has evolved from an analysis of 3 datasets to large-scale interrogation of hundreds of image training datasets, the first of which launched on this site in April 2019 with the Financial Times.

MegaPixels aims to provide a critical perspective on machine learning image training datasets, one that might otherwise escape academia and industry funded artificial intelligence think tanks that are often supported by the same technology companies who created many of the datasets presented on this site.

MegaPixels is an independent project designed as a public resource for educators, students, journalists, and researchers. Each dataset presented on this site undergoes a thorough review of its images, intent, and citations. MegaPixels is a website-first research publication, with academic publications and essays to follow in 2019 and 2020.

Our collection of verified geocoded citations and dataset statistics will be published as it develops and is now part of a longer term research fellowship for KIM (Critical Artificial Intelligence) Karlsruhe HfG.

 July 13, 2019 MegaPixels research featured in New York Times article on how <a href="https://www.nytimes.com/2019/07/13/technology/databases-faces-facial-recognition-technology.html">Facial Recognition Tech Is Growing Stronger, Thanks to Your Face</a>
July 13, 2019 MegaPixels research featured in New York Times article on how Facial Recognition Tech Is Growing Stronger, Thanks to Your Face

News and Publications

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Team

 <strong>Adam Harvey</strong> <br>Concept, dataset wrangling, research and analysis, design, and computer vision. Website: <a href="https://ahprojects.com">ahprojects.com</a>
Adam Harvey
Concept, dataset wrangling, research and analysis, design, and computer vision. Website: ahprojects.com
 <strong>Jules LaPlace</strong><br>Information architecture, data management, verification management, citation geocoding, web applications. Website: <a href="https://asdf.us">asdf.us</a>
Jules LaPlace
Information architecture, data management, verification management, citation geocoding, web applications. Website: asdf.us

Contributing Researchers

Code and Libraries

Attribution

If you use MegaPixels or any data derived from it for your work, please cite our original work as follows:

@online{MegaPixels.cc,
 author = {Harvey, Adam. LaPlace, Jules.},
 title = {MegaPixels: Origins, Ethics, and Privacy Implications of Publicly Available Face Recognition Image Datasets},
 year = 2019,
 url = {https://megapixels.cc},
 urldate = {2019-04-18}
}

Press Images

Images available for press or publication:

 MegaPixels: Origins, Ethics, and Privacy Implications of Publicly Available Face Recognition Image Datasets
MegaPixels: Origins, Ethics, and Privacy Implications of Publicly Available Face Recognition Image Datasets