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| author | adamhrv <adam@ahprojects.com> | 2019-05-28 14:49:58 +0200 |
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| committer | adamhrv <adam@ahprojects.com> | 2019-05-28 14:49:58 +0200 |
| commit | f5141a7b48ee569089b07428bc75cb84a55c4834 (patch) | |
| tree | f5d36d82cc61848afe658c827c5466966b50d960 /site/content/pages/datasets/uccs/index.md | |
| parent | ab8d6b68a75c69d3db0678bc4507c7bf10b99a6a (diff) | |
update press, fix uccs license
Diffstat (limited to 'site/content/pages/datasets/uccs/index.md')
| -rw-r--r-- | site/content/pages/datasets/uccs/index.md | 14 |
1 files changed, 9 insertions, 5 deletions
diff --git a/site/content/pages/datasets/uccs/index.md b/site/content/pages/datasets/uccs/index.md index 5c6d1253..4b4c38b3 100644 --- a/site/content/pages/datasets/uccs/index.md +++ b/site/content/pages/datasets/uccs/index.md @@ -31,13 +31,13 @@ The UCCS dataset includes over 1,700 unique identities, most of which are studen The long-range surveillance images in the UnConsrained College Students dataset were taken using a Canon 7D 18-megapixel digital camera fitted with a Sigma 800mm F5.6 EX APO DG HSM telephoto lens and pointed out an office window across the university's West Lawn. The students were photographed from a distance of approximately 150 meters through an office window. "The camera [was] programmed to start capturing images at specific time intervals between classes to maximize the number of faces being captured."[^sapkota_boult] Their setup made it impossible for students to know they were being photographed, providing the researchers with realistic surveillance images to help build face recognition systems for real world applications for defense, intelligence, and commercial partners. - + The EXIF data embedded in the images shows that the photo capture times follow a similar pattern to that outlined by the researchers, but also highlights that the vast majority of photos (over 7,000) were taken on Tuesdays around noon during students' lunch break. The lack of any photos taken between Friday through Sunday shows that the researchers were only interested in capturing images of students during the peak campus hours. - + - + The two research papers associated with the release of the UCCS dataset ([Unconstrained Face Detection and Open-Set Face Recognition Challenge](https://www.semanticscholar.org/paper/Unconstrained-Face-Detection-and-Open-Set-Face-G%C3%BCnther-Hu/d4f1eb008eb80595bcfdac368e23ae9754e1e745) and [Large Scale Unconstrained Open Set Face Database](https://www.semanticscholar.org/paper/Large-scale-unconstrained-open-set-face-database-Sapkota-Boult/07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1)), acknowledge that the primary funding sources for their work were United States defense and intelligence agencies. Specifically, development of the UnContsrianed College Students dataset was funded by the Intelligence Advanced Research Projects Activity (IARPA), Office of Director of National Intelligence (ODNI), Office of Naval Research and The Department of Defense Multidisciplinary University Research Initiative (ONR MURI), and the Special Operations Command and Small Business Innovation Research (SOCOM SBIR) amongst others. UCCS's VAST site also explicitly [states](https://vast.uccs.edu/project/iarpa-janus/) their involvement in the [IARPA Janus](https://www.iarpa.gov/index.php/research-programs/janus) face recognition project developed to serve the needs of national intelligence, establishing that immediate benefactors of this dataset include United States defense and intelligence agencies, but it would go on to benefit other similar organizations. @@ -52,7 +52,7 @@ As of April 15, 2019, the UCCS dataset is no longer available for public downloa Since this site To show the types of face images used in the UCCS student dataset while protecting their individual privacy, a generative adversarial network was used to interpolate between identities in the dataset. The image below shows a generative adversarial network trained on the UCCS face bounding box areas from 16,000 images and over 90,000 face regions. - + === columns 2 @@ -115,7 +115,11 @@ If you attended University of Colorado Colorado Springs and were captured by the ### Ethics - Please direct any questions about the ethics of the dataset to the University of Colorado Colorado Springs [Ethics and Compliance Office](https://www.uccs.edu/compliance/) -- For further technical information about the UnConstrained College Students dataset, visit the [UCCS dataset project page](https://vast.uccs.edu/Opensetface). +- For further technical information about the UnConstrained College Students dataset, visit the [UCCS dataset project page](https://vast.uccs.edu/Opensetface). + +### Credits + +This analysis contains information from UCCS: UnConstrained College Students dataset, made available under a modified ODC Attribution License [http://www.vast.uccs.edu/UCCS/License.txt](http://www.vast.uccs.edu/UCCS/License.txt) {% include 'cite_our_work.html' %} |