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------------
status: published
title: About MegaPixels
desc: About MegaPixels
slug: about
cssclass: about
published: 2018-12-04
updated: 2018-12-04
authors: Adam Harvey
------------
# About MegaPixels
<section class="about-menu">
<ul>
<li><a class="current" href="/about/">About</a></li>
<li><a href="/about/press/">Press</a></li>
<li><a href="/about/attribution/">Attribution</a></li>
<li><a href="/about/legal/">Legal / Privacy</a></li>
</ul>
</section>
MegaPixels is an independent art and research project by Adam Harvey and Jules LaPlace that investigates the ethics, origins, and individual privacy implications of face recognition image datasets and their role in the expansion of biometric surveillance technologies.
MegaPixels is made possible with support from <a href="http://mozilla.org">Mozilla</a>, our primary funding partner.
Additional support for MegaPixels is provided by the European ARTificial Intelligence Network (AI LAB) at the Ars Electronica Center, 1-year research-in-residence grant from Karlsruhe HfG, and sales from the Privacy Gift Shop.
<div class="flex-container team-photos-container">
<div class="team-member">
<h3>Adam Harvey</h3>
<p>is Berlin-based American artist and researcher. His previous projects (CV Dazzle, Stealth Wear, and SkyLift) explore the potential for counter-surveillance as artwork. He is the founder of VFRAME (visual forensics software for human rights groups) and is a currently researcher in residence at Karlsruhe HfG.</p>
<p><a href="https://ahprojects.com">ahprojects.com</a></p>
</p>
</div>
<div class="team-member">
<h3>Jules LaPlace</h3>
<p>is an American technologist and artist also based in Berlin. He was previously the CTO of a digital agency in NYC and now also works at VFRAME, developing computer vision and data analysis software for human rights groups. Jules also builds experimental software for artists and musicians.
</p>
<p><a href="https://asdf.us/">asdf.us</a></p>
</div>
</div>
The MegaPixels website is based on an [earlier installation from 2017](https://ahprojects.com/megapixels-glassroom/) and ongoing research and lectures ([TedX](https://www.youtube.com/watch?v=bfhcco9gS30), [CPDP](https://www.cpdpconferences.org/events/megapixels-is-in-publicly-available-facial-recognition-datasets)) about facial recognition datasets. Over the last several years this project has evolved into a large-scale interrogation of hundreds of publicly-available face and person analysis datasets.
MegaPixels aims to provide a critical perspective on machine learning image datsets, one that might otherwise escape academia and the industry funded artificial intelligence think tanks that are often supported by the same technology companies who have 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 funding sources. Though the goals are similar to publishing a public academic paper, MegaPixels is a website-first reserch project aligns closley with the goals of pre-print academic publications. As such we welcome feedback and ways to improve this site and the clarity of the research.
Because this project surfaces many funding issues with datasets (from datasets funded by the C.I.A. to the National Unviversity of Defense and Technology in China), it is important that we are transparent about own funding. The original MegaPixels installation in 2017 was built as a commission for and with support from Tactical Technology Collective and Mozilla. The bulk of the research and web-development during 2018 - 2018 was supported by a grant from Mozilla. Continued development in 2019 is partially supported by a 1-year Reseacher-in-Residence grant from Karlsruhe HfG, lecture and workshop fees, and from commissions and sales from the Privacy Gift Shop.
Please get in touch if you are interested in supporting this project.
=== columns 3
##### Team
- Adam Harvey: Concept, research and analysis, design, computer vision
- Jules LaPlace: Information and systems architecture, data management, web applications
You are free:
===========
##### Contributing Researchers
- Berit Gilma
- Beth (aka Ms. Celeb)
- Mathana Stender
===========
##### Code and Libraries
- [Semantic Scholar](https://semanticscholar.org) for citation aggregation
- Leaflet.js for maps
- C3.js for charts
- ThreeJS for 3D visualizations
- PDFMiner.Six and Pandas for research paper data analysis
=== end columns
Please direct questions, comments, or feedback to [mastodon.social/@adamhrv](https://mastodon.social/@adamhrv)
#### Funding Partners
The MegaPixels website, research, and development is made possible with support form Mozilla, our primary funding partner.
[ add logos ]
Additional support is provided by the European ARTificial Intelligence Network (AI LAB) at the Ars Electronica Center and a 1-year research-in-residence grant from Karlsruhe HfG.
[ add logos ]
##### Attribution
If you use MegaPixels or any data derived from it for your work, please cite our original work as follows:
<pre>
@online{megapixels,
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 = {2019-04-20}
}
</pre>
|
