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------------
status: published
title: Unconstrained College Students
slug: uccs
desc: <span class="dataset-name">Unconstrained College Students (UCCS)</span> is a dataset of long-range surveillance photos of students at University of Colorado
subdesc: The UCCS dataset includes 16,149 images and 1,732 identities of subjects on University of Colorado Colorado Springs campus and is used for face recognition and face detection
cssclass: dataset
image: assets/background.jpg
slug: uccs
published: 2019-2-23
updated: 2019-2-23
authors: Adam Harvey
------------
### sidebar
### end sidebar
## Unconstrained College Students (UCCS)
[ page under development ]
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_uccs]. The images were captured using a Canon 7D digital camera fitted with a Sigma 800mm telephoto lens pointed out the window of an office aimed at students walking to and from classes.
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. [^funding_sb] [^funding_uccs]
{% include 'dashboard.html' %}
## Opting Out
If you attended University of Colorado Colorado Springs and were captured by the long range surveillance camera used to create this dataset, there is unfortunatley no way to be removed. The authors do not provide any option for students to opt-out nor were any students informed they would be used for training face recognition. According to the authors, the lack of any consent is what provides part of the value of the Unconstrained College Students Dataset.
More information and contact emails are provided on the UCCS dataset site: <https://vast.uccs.edu/Opensetface/>
{% include 'supplementary_header.html' %}
#### Data Visualizations
The images in UCCS were taken on 19 non-consecutive days during 2012 - 2013 and include a variety of weather and clothing variation. The embedded [EXIF data](assets/uccs_camera_exif.csv) in the images reveal that the images were most likely taken at the following times:
=== columns 2
#### UCCS photos taken in 2012
| Date | Photos |
| --- | --- |
| Feb 23, 2012 | 132 |
| March 6, 2012 | 288 |
| March 8, 2012 | 506 |
| March 13, 2012 | 160 |
| March 20, 2012 | 1,840 |
| March 22, 2012 | 445 |
| April 3, 2012 | 1,639 |
| April 12, 2012 | 14 |
| April 17, 2012 | 19 |
| April 24, 2012 | 63 |
| April 25, 2012 | 11 |
| April 26, 2012 | 20 |
===========
#### UCCS photos taken in 2013
| Date | Photos |
| --- | --- |
| Jan 28, 2013 | 1,056 |
| Jan 29, 2013 | 1,561 |
| Feb 13, 2013 | 739 |
| Feb 19, 2013 | 723 |
| Feb 20, 2013 | 965 |
| Feb 26, 2013 | 736 |
=== end columns
#### Location
The location of the camera and subjects can be approximated using the *Bellingcat method*. The visual clues include the unique pattern of the sidewalk that is only used on UCCS Pedstrian Spine near the West Lawn, the two UCCS sign poles, the far wall of the parking garage, the No Parking sign and directionality of the arrow. The [original papers](https://www.semanticscholar.org/paper/Large-scale-unconstrained-open-set-face-database-Sapkota-Boult/07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1) also provides another clue: a [picture of the camera](https://www.semanticscholar.org/paper/Large-scale-unconstrained-open-set-face-database-Sapkota-Boult/07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1/figure/1) inside the office used to create the dataset. This provides a clear match for the facade of the Kraember Family Library and the green metal fence along the sidewalk.
#### Funding
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:
- 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
- National Science Foundation Grant IIS-1320956
- ODNI (Office of Director of National Intelligence)
- IARPA (Intelligence Advance Research Projects Activity) R&D contract 2014-14071600012
### Footnotes
[^funding_sb]: Sapkota, Archana and Boult, Terrance. "Large Scale Unconstrained Open Set Face Database." 2013.
[^funding_uccs]: Günther, M. et. al. "Unconstrained Face Detection and Open-Set Face Recognition Challenge," 2018. Arxiv 1708.02337v3.
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