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diff --git a/site/content/pages/datasets/uccs/assets/.~lock.uccs_camera_exif.csv# b/site/content/pages/datasets/uccs/assets/.~lock.uccs_camera_exif.csv# new file mode 100644 index 00000000..61ef22ef --- /dev/null +++ b/site/content/pages/datasets/uccs/assets/.~lock.uccs_camera_exif.csv# @@ -0,0 +1 @@ +,adam,adam,05.04.2019 12:39,file:///home/adam/.config/libreoffice/4;
\ No newline at end of file diff --git a/site/content/pages/datasets/uccs/assets/uccs_exif_plot.png b/site/content/pages/datasets/uccs/assets/uccs_exif_plot.png Binary files differindex b6b5dda6..987b6c20 100755 --- a/site/content/pages/datasets/uccs/assets/uccs_exif_plot.png +++ b/site/content/pages/datasets/uccs/assets/uccs_exif_plot.png diff --git a/site/content/pages/datasets/uccs/assets/uccs_map.jpg b/site/content/pages/datasets/uccs/assets/uccs_map.jpg Binary files differindex 099de512..8e15ae9f 100755 --- a/site/content/pages/datasets/uccs/assets/uccs_map.jpg +++ b/site/content/pages/datasets/uccs/assets/uccs_map.jpg diff --git a/site/content/pages/datasets/uccs/index.md b/site/content/pages/datasets/uccs/index.md index fa07dce2..8827b227 100644 --- a/site/content/pages/datasets/uccs/index.md +++ b/site/content/pages/datasets/uccs/index.md @@ -1,10 +1,10 @@ ------------ status: published -title: Unconstrained College Students +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 +desc: <span class="dataset-name">UnConstrained College Students</span> is a dataset of long-range surveillance photos of students at University of Colorado in Colorado Springs +subdesc: 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 cssclass: dataset image: assets/background.jpg slug: uccs @@ -18,33 +18,29 @@ authors: Adam Harvey ### end sidebar -## Unconstrained College Students (UCCS) +## UnConstrained College Students [ 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. +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]. 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. -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] +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. +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. [^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. +In 2017 the UCCS face dataset was used for a defense and intelligence agency funded [face recognition challenge](http://www.face-recognition-challenge.com/) 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](https://erodner.github.io/ial2018eccv/) 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. -More information and contact emails are provided on the UCCS dataset site: <https://vast.uccs.edu/Opensetface/> +{% include 'dashboard.html' %} {% include 'supplementary_header.html' %} +### Dates and Times -#### 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: +The images in UCCS were taken on 18 non-consecutive days during 2012–2013. Analysis of the [EXIF data](assets/uccs_camera_exif.csv) 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. - + - + === columns 2 @@ -82,18 +78,18 @@ The images in UCCS were taken on 19 non-consecutive days during 2012 - 2013 and === end columns -#### Location +### 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. +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](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 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](https://www.google.com/maps/place/University+of+Colorado+Colorado+Springs/@38.8934297,-104.7992445,27a,35y,258.51h,75.06t/data=!3m1!1e3!4m5!3m4!1s0x87134fa088fe399d:0x92cadf3962c058c4!8m2!3d38.8968312!4d-104.8049528) - + - + -#### Funding +### 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: +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 @@ -102,6 +98,22 @@ The Unconstrained College Students dataset is associated with two main research - ODNI (Office of Director of National Intelligence) - IARPA (Intelligence Advance Research Projects Activity) R&D contract 2014-14071600012 +### 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 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. + +### 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/) + +### Technical Details + +For further technical information about the dataset, visit the [UCCS dataset project page](https://vast.uccs.edu/Opensetface). + +## Under Development + +- adding more verified locations to map and charts +- add EXIF file to CDN ### Footnotes |
