From b73e233acec5ad6c3aca7475288482f366f7a31f Mon Sep 17 00:00:00 2001 From: adamhrv Date: Fri, 5 Apr 2019 13:17:05 +0200 Subject: never say final, update uccs --- site/public/datasets/uccs/index.html | 364 +++++++++++++---------------------- 1 file changed, 134 insertions(+), 230 deletions(-) (limited to 'site/public/datasets/uccs') diff --git a/site/public/datasets/uccs/index.html b/site/public/datasets/uccs/index.html index 593ac498..5bb120ba 100644 --- a/site/public/datasets/uccs/index.html +++ b/site/public/datasets/uccs/index.html @@ -4,7 +4,7 @@ MegaPixels - + @@ -26,7 +26,7 @@
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Unconstrained College Students (UCCS) is a dataset of long-range surveillance photos of students taken without their knowledge
The UCCS dataset includes 16,149 images and 1,732 identities of students at University of Colorado Colorado Springs campus and is used for face recognition and face detection +
UnConstrained College Students is a dataset of long-range surveillance photos of students at University of Colorado in Colorado Springs
The UnConstrained College Students dataset includes 16,149 images and 1,732 identities of subjects on University of Colorado Colorado Springs campus and is used for making face recognition and face detection algorithms
Published
2018
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Website
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Published
2018
Images
16,149
Identities
1,732
Used for
Face recognition, face detection
Created by
Unviversity of Colorado Colorado Springs (US)
Funded by
ODNI, IARPA, ONR MURI, Amry SBIR, SOCOM SBIR

Unconstrained College Students ...

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(PAGE UNDER DEVELOPMENT)

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Unconstrained College Students (UCCS) is a dataset of long-range surveillance photos captured at University of Colorado Colorado Springs. According to the authors of two papers associated with the dataset, subjects were "photographed using a long-range high-resolution surveillance camera without their knowledge" [^funding_sb]. The images were captured using a Canon 7D digital camera fitted with a Sigma 800mm telephoto lens pointed out the window of an office.

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The UCCS dataset was funded by ODNI (Office of Director of National Intelligence), IARPA (Intelligence Advance Research Projects Activity), ONR MURI Office of Naval Research and The Department of Defense Multidisciplinary University Research Initiative, Army SBIR (Small Business Innovation Research), SOCOM SBIR (Special Operations Command and Small Business Innovation Research), and the National Science Foundation.

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The images in UCCS include students walking between classes on campus over 19 days in 2012 - 2013. The dates include:

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UnConstrained College Students

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[ page under development ]

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UnConstrained College Students (UCCS) is a dataset of long-range surveillance photos captured at University of Colorado Colorado Springs. According to the authors of two papers associated with the dataset, subjects were "photographed using a long-range high-resolution surveillance camera without their knowledge" 2. To create the dataset, the researchers used a Canon 7D digital camera fitted with a Sigma 800mm telephoto lens and photographed students 150–200m away through their office window. Photos were taken during the morning and afternoon while students were walking to and from classes. The primary uses of this dataset are to train, validate, and build recognition and face detection algorithms for realistic surveillance scenarios.

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What makes the UCCS dataset unique is that it includes the highest resolution images of any publicly available face recognition dataset discovered so far (18MP), that it was captured on a campus without consent or awareness using a long-range telephoto lens, and that it was funded by United States defense and intelligence agencies.

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Combined funding sources for the creation of the initial and final release of the dataset include ODNI (Office of Director of National Intelligence), IARPA (Intelligence Advance Research Projects Activity), ONR MURI (Office of Naval Research and The Department of Defense Multidisciplinary University Research Initiative), Army SBIR (Small Business Innovation Research), SOCOM SBIR (Special Operations Command and Small Business Innovation Research), and the National Science Foundation. 1 2

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In 2017 the UCCS face dataset was used for a defense and intelligence agency funded face recognition challenge at the International Joint Biometrics Conference in Denver, CO. And in 2018 the dataset was used for the 2nd Unconstrained Face Detection and Open Set Recognition Challenge at the European Computer Vision Conference (ECCV) in Munich, Germany. Additional research projects that have used the UCCS dataset are included below in the list of verified citations.

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Who used UCCS?

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+ This bar chart presents a ranking of the top countries where dataset citations originated. Mouse over individual columns to see yearly totals. These charts show at most the top 10 countries. +

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Biometric Trade Routes

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+ To help understand how UCCS has been used around the world by commercial, military, and academic organizations; existing publicly available research citing UnConstrained College Students Dataset was collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal research projects at that location. +

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Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.
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Dataset Citations

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+ The dataset citations used in the visualizations were collected from Semantic Scholar, a website which aggregates and indexes research papers. Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms. +

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Supplementary Information

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Dates and Times

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The images in UCCS were taken on 18 non-consecutive days during 2012–2013. Analysis of the EXIF data embedded in original images reveal that most of the images were taken on Tuesdays, and the most frequent capture time throughout the week was 12:30PM.

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UCCS photos captured per weekday © megapixels.cc
UCCS photos captured per weekday © megapixels.cc
UCCS photos captured per 10-minute intervals per weekday © megapixels.cc
UCCS photos captured per 10-minute intervals per weekday © megapixels.cc

UCCS photos taken in 2012

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YearMonthDay DateTime Range Photos
2012Februay---23-Feb 23, 2012 132
2012March---6--March 6, 2012288
2012March---8--March 8, 2012506
2012March---13--March 13, 2012160
2012Februay---23-132March 20, 20121,840
2012March---6--March 22, 2012445
2012March---8--April 3, 20121,639
2012March---13--April 12, 201214
2012Februay---23-132April 17, 201219
2012March---6--April 24, 201263
2012March---8--April 25, 201211
2012March---13--April 26, 201220
2012Februay---23-132
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UCCS photos taken in 2013

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DatePhotos
2012March---6--Jan 28, 20131,056
2012March---8--Jan 29, 20131,561
2012March---13--Feb 13, 2013739
2012Februay---23-132Feb 19, 2013723
2012March---6--Feb 20, 2013965
2012March---8--Feb 26, 2013736
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2012-03-20 -2012-03-22 -2012-04-03 -2012-04-12 -2012-04-17 -2012-04-24 -2012-04-25 -2012-04-26 -2013-01-28 -2013-01-29 -2013-02-13 -2013-02-19 -2013-02-20 -2013-02-26

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The pixel-average of all Uconstrained College Students images is shown with all 51,838 face annotations. (c) Adam Harvey
The pixel-average of all Uconstrained College Students images is shown with all 51,838 face annotations. (c) Adam Harvey
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Biometric Trade Routes

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- To help understand how UCCS has been used around the world for commercial, military and academic research; publicly available research citing UnConstrained College Students Dataset is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal reserach projects at that location. -

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Who used UCCS?

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Dataset Citations

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Supplementary Information

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

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Location

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The location of the camera and subjects can confirmed using the Bellingcat method. The visual clues that lead to location of the camera and subjects include the unique pattern of the sidewalk that is only used on the UCCS Pedestrian Spine near the West Lawn, the two UCCS sign poles with matching graphics still visible in Google Street View, the no parking sign and directionality of its arrow, the back of street sign next to it, the slight bend in the sidewalk, the presence of cars passing in the background of the image, and the far wall of the parking garage all match images in the dataset. The original papers also provides another clue: a picture of the camera inside the office that was used to create the dataset. The window view in this image provides another match for the brick pattern on the north facade of the Kraember Family Library and the green metal fence along the sidewalk. View the location on Google Maps

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Location on campus where students were unknowingly photographed with a telephoto lens to be used for defense and intelligence agency funded research on face recognition. Image: Google Maps
Location on campus where students were unknowingly photographed with a telephoto lens to be used for defense and intelligence agency funded research on face recognition. Image: Google Maps
3D view showing the angle of view of the surveillance camera used for UCCS dataset. Image: Google Maps
3D view showing the angle of view of the surveillance camera used for UCCS dataset. Image: Google Maps

Funding

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The UnConstrained College Students dataset is associated with two main research papers: "Large Scale Unconstrained Open Set Face Database" and "Unconstrained Face Detection and Open-Set Face Recognition Challenge". Collectively, these papers and the creation of the dataset have received funding from the following organizations:

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

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TODO

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Opting Out

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If you attended University of Colorado Colorado Springs and were captured by the long range surveillance camera used to create this dataset, there is unfortunately currently no way to be removed. The authors do not provide any options for students to opt-out nor were students informed they would be used for training face recognition. According to the authors, the lack of any consent or knowledge of participation is what provides part of the value of Unconstrained College Students Dataset.

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Ethics

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Please direct any questions about the ethics of the dataset to the University of Colorado Colorado Springs Ethics and Compliance Office

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Technical Details

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For further technical information about the dataset, visit the UCCS dataset project page.

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Under Development

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footnotes

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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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