From 35f19bdca7ac68829fd781827d25deb4bfc734d2 Mon Sep 17 00:00:00 2001 From: Jules Laplace Date: Fri, 22 Mar 2019 00:23:29 +0100 Subject: rebuild and update js linkx --- site/public/datasets/uccs/index.html | 98 +++++++++++++++++++++++++----------- 1 file changed, 68 insertions(+), 30 deletions(-) (limited to 'site/public/datasets/uccs/index.html') diff --git a/site/public/datasets/uccs/index.html b/site/public/datasets/uccs/index.html index 0283bf3b..336d5f01 100644 --- a/site/public/datasets/uccs/index.html +++ b/site/public/datasets/uccs/index.html @@ -4,7 +4,7 @@ MegaPixels - + @@ -24,47 +24,85 @@ About -
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Unconstrained College Students

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Years
2012-2013
Images
16,149
Identities
4,362
Origin
Colorado Springs Campus
Pixellated and redacted example image from the UCCS dataset. ©Adam Harvey
Pixellated and redacted example image from the UCCS dataset. ©Adam Harvey

Unconstrained College Students is a large-scale, unconstrained face detection and recognition dataset. It includes

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The UCCS includes...

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Funding Sources

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The original Sapkota and Boult dataset, from which UCCS is derived, received funding from[^funding_sb]:

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Unconstrained College Students (UCCS) is a dataset of images ...
The UCCS dataset includes ... +
Collected
TBD
Published
TBD
Images
TBD
Faces
TBD

Unconstrained College Students ...

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(PAGE UNDER DEVELOPMENT)

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Information Supply Chain

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+ To understand how UCCS has been used around the world... + affected global research on computer vision, surveillance, defense, and consumer technology, the and where this dataset has been used the locations of each organization that used or referenced the datast +

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Academic
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Industry
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Government
+ Data is compiled from Semantic Scholar and not yet manually verified. +
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+ Standardized paragraph of text about the map. 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. +

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Supplementary Information

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Citations

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+ Citations were collected from Semantic Scholar, a website which aggregates + and indexes research papers. Metadata was extracted from these papers, including extracting names of institutions automatically from PDFs, and then the addresses were geocoded. Data is not yet manually verified, and reflects anytime the paper was cited. Some papers may only mention the dataset in passing, while others use it as part of their research methodology. +

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Research Notes

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The original Sapkota and Boult dataset, from which UCCS is derived, received funding from1:

  • ONR (Office of Naval Research) MURI (The Department of Defense Multidisciplinary University Research Initiative) grant N00014-08-1-0638
  • Army SBIR (Small Business Innovation Research) grant W15P7T-12-C-A210
  • SOCOM (Special Operations Command) SBIR (Small Business Innovation Research) grant H92222-07-P-0020
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The more recent UCCS version of the dataset received funding from [^funding_uccs]:

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The more recent UCCS version of the dataset received funding from 2:

  • National Science Foundation Grant IIS-1320956
  • ODNI (Office of Director of National Intelligence)
  • IARPA (Intelligence Advance Research Projects Activity) R&D contract 2014-14071600012
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Citations

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Pixellated and redacted example image from the UCCS dataset. ©Adam Harvey
Pixellated and redacted example image from the UCCS dataset. ©Adam Harvey

Notes

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  • Images from UCCS are not available for public display. Instead a pixellated, redacted, and colored interpretation has been displayed here. The full images are available here.
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  • Images can be downloaded from...
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Resources

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  • Download video
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  • links to UCCS
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  • download synthetic images
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Image Terms of Use

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  • All images are ©Adam Harvey / megapixels.cc
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  • You are welcomed to use these images for academic and journalistic use including for research papers, news stories, presentations.
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  • Please use the following citation:
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    1. Sapkota, Archana and Boult, Terrance. "Large Scale Unconstrained Open Set Face Database." 2013.↩

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    2. Günther, M. et. al. "Unconstrained Face Detection and Open-Set Face Recognition Challenge," 2018. Arxiv 1708.02337v3.↩

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