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------------
status: published
title: Unconstrained College Students
desc: UCCS: Unconstrained College Students
slug: uccs
published: 2019-02-23
updated: 2019-02-23
authors: Adam Harvey
------------
# Unconstrained College Students
+ Years: 2012-2013
+ Images: 16,149
+ Identities: 4,362
+ Origin: Colorado Springs Campus
**Unconstrained College Students** is a large-scale, unconstrained face detection and recognition dataset. It includes
The UCCS includes...
### Funding Sources
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
### Citations
[add map here]
[add citations table here]
### Notes
- 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.
- Images can be downloaded from...
### Resources
- Download video
- links to UCCS
- download synthetic images
### Image Terms of Use
- All images are ©Adam Harvey / megapixels.cc
- You are welcomed to use these images for academic and journalistic use including for research papers, news stories, presentations.
- Please use the following citation:
```MegaPixels.cc Adam Harvey 2013-2019.```
[^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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