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| author | Jules Laplace <julescarbon@gmail.com> | 2019-03-31 16:54:38 +0200 |
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| committer | Jules Laplace <julescarbon@gmail.com> | 2019-03-31 16:54:38 +0200 |
| commit | 6366b90b7e124a0059e2ebebe0f813b2e35e2f66 (patch) | |
| tree | 75e72ba51ea9ce48392ac71f8ff69f6bfcba1d94 /site/public/about/index.html | |
| parent | 7de9f635caef890cf125e692335cb26c804f7940 (diff) | |
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Diffstat (limited to 'site/public/about/index.html')
| -rw-r--r-- | site/public/about/index.html | 16 |
1 files changed, 8 insertions, 8 deletions
diff --git a/site/public/about/index.html b/site/public/about/index.html index 5b98ab34..18ad797a 100644 --- a/site/public/about/index.html +++ b/site/public/about/index.html @@ -39,7 +39,7 @@ <p>The MegaPixels site is made possible with support from <a href="http://mozilla.org">Mozilla</a></p> <div class="flex-container team-photos-container"> <div class="team-member"> - <h3>Adam Harvey</h4> + <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> @@ -50,29 +50,29 @@ </p> <p><a href="https://asdf.us/">asdf.us</a></p> </div> -</div><p>MegaPixels.cc is an independent research project about publicly available face recognition datasets. This website is based, in part, on earlier installations and research project about facial recognition datasets in 2016-2018, in particular the MegaFace dataset. Since then it has evolved into a large-scale survey and analysis of publicly available face and person analysis dataset usage, geographies, and ethics.</p> -<p>An academic report and presentation on the findings is forthcoming. This site is published to make the research more accessible to a wider audience and to include visualizations and interactive features not possible in PDF publications. Continued research on MegaPixles is supported by a 1 year Researcher-in-Residence grant from Karlsruhe HfG.</p> +</div><p>MegaPixels.cc is an independent research project about publicly available face recognition datasets. This website is based, in part, on earlier installations and research projects about facial recognition datasets in 2016-2018, which focused particularly on the MegaFace dataset. Since then it has evolved into a large-scale survey of publicly-available face and person analysis datasets, covering their usage, geographies, and ethics.</p> +<p>An academic report and presentation on the findings is forthcoming. This site is published to make the research more accessible to a wider audience and to include visualizations and interactive features not possible in PDF publications. Continued research on MegaPixels is supported by a 1 year Researcher-in-Residence grant from Karlsruhe HfG.</p> <p>When possible, and once thoroughly verified, data generated for MegaPixels will be made available for download on <a href="https://github.com/adamhrv/megapixels">github.com/adamhrv/megapixels</a></p> -<h4>Team</h4> +</section><section><div class='columns columns-3'><div class='column'><h4>Team</h4> <ul> <li>Adam Harvey: Concept, research, design, computer vision</li> <li>Jules LaPlace: Information and systems architecture, data retrieval, web applications</li> </ul> -<h4>Contributing Researchers</h4> +</div><div class='column'><h4>Contributing Researchers</h4> <ul> <li>Berit Gilma: Dataset statistics and discovery</li> <li>Beth (aka Ms. Celeb): Dataset usage verification and research</li> <li>Mathana Stender: Commercial usage verification and research on LFW</li> </ul> -<h4>Code and Libraries</h4> +</div><div class='column'><h4>Code and Libraries</h4> <ul> <li><a href="https://semanticscholar.org">Semantic Scholar</a> for citation aggregation</li> <li>Leaflet.js for maps</li> <li>C3.js for charts</li> -<li>D3.js and ThreeJS for 3D visualizations</li> +<li>ThreeJS for 3D visualizations</li> <li>PDFMiner.Six and Pandas for research paper data analysis</li> </ul> -<p>Please direct questions, comments, or feedback to <a href="https://mastodon.social/@adamhrv">mastodon.social/@adamhrv</a></p> +</div></div></section><section><p>Please direct questions, comments, or feedback to <a href="https://mastodon.social/@adamhrv">mastodon.social/@adamhrv</a></p> </section> </div> |
