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------------
status: published
title: Unconstrained College Students
desc: <span class="dataset-name">Unconstrained College Students (UCCS)</span> is a dataset of long-range surveillance photos of students taken without their knowledge
subdesc: The UCCS dataset includes 16,149 images and 1,732 identities, is used for face recognition and face detection, and funded was several US defense agences
slug: uccs
cssclass: dataset
image: assets/background.jpg
published: 2019-2-23
updated: 2019-2-23
authors: Adam Harvey
------------
### sidebar
+ 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
+ Website: <a href="https://vast.uccs.edu/Opensetface/">vast.uccs.edu</a>
## Unconstrained College Students ...
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### Research Notes
The original Sapkota and Boult dataset, from which UCCS is derived, received funding from[^funding_sb]:
- 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
The more recent UCCS version of the dataset received funding from [^funding_uccs]:
- National Science Foundation Grant IIS-1320956
- ODNI (Office of Director of National Intelligence)
- IARPA (Intelligence Advance Research Projects Activity) R&D contract 2014-14071600012
[^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.
" In most face detection/recognition datasets, the majority of images are “posed”, i.e. the subjects know they are being photographed, and/or the images are selected for publication in public media. Hence, blurry, occluded and badly illuminated images are generally uncommon in these datasets. In addition, most of these challenges are close-set, i.e. the list of subjects in the gallery is the same as the one used for testing.
This challenge explores more unconstrained data, by introducing the new UnConstrained College Students (UCCS) dataset, where subjects are photographed using a long-range high-resolution surveillance camera without their knowledge. Faces inside these images are of various poses, and varied levels of blurriness and occlusion. The challenge also creates an open set recognition problem, where unknown people will be seen during testing and must be rejected.
With this challenge, we hope to foster face detection and recognition research towards surveillance applications that are becoming more popular and more required nowadays, and where no automatic recognition algorithm has proven to be useful yet.
UnConstrained College Students (UCCS) Dataset
The UCCS dataset was collected over several months using Canon 7D camera fitted with Sigma 800mm F5.6 EX APO DG HSM lens, taking images at one frame per second, during times when many students were walking on the sidewalk. "
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