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authoradamhrv <adam@ahprojects.com>2019-04-16 17:31:17 +0200
committeradamhrv <adam@ahprojects.com>2019-04-16 17:31:17 +0200
commit391b945604a65f09da7d3f069dcef5a571e9b55c (patch)
treeffa9812f46abcebd5f3b371be913b774d8bd123f /site/content/pages
parent776ae57da4a27966d58aa76bcac1eed67b75687b (diff)
parent92cdcf6e684a2de2846865e99281d939cc3ecd5a (diff)
merge
Diffstat (limited to 'site/content/pages')
-rw-r--r--site/content/pages/datasets/50_people_one_question/index.md4
-rw-r--r--site/content/pages/datasets/afad/index.md4
-rw-r--r--site/content/pages/datasets/brainwash/index.md4
-rw-r--r--site/content/pages/datasets/caltech_10k/index.md4
-rw-r--r--site/content/pages/datasets/celeba/index.md4
-rw-r--r--site/content/pages/datasets/cofw/index.md4
-rw-r--r--site/content/pages/datasets/duke_mtmc/index.md4
-rw-r--r--site/content/pages/datasets/feret/index.md4
-rw-r--r--site/content/pages/datasets/hrt_transgender/index.md4
-rw-r--r--site/content/pages/datasets/lfpw/index.md4
-rw-r--r--site/content/pages/datasets/lfw/index.md4
-rw-r--r--site/content/pages/datasets/market_1501/index.md4
-rw-r--r--site/content/pages/datasets/msceleb/index.md4
-rw-r--r--site/content/pages/datasets/oxford_town_centre/index.md4
-rw-r--r--site/content/pages/datasets/pipa/index.md4
-rw-r--r--site/content/pages/datasets/pubfig/index.md4
-rw-r--r--site/content/pages/datasets/uccs/index.md10
-rw-r--r--site/content/pages/datasets/vgg_face2/index.md3
-rw-r--r--site/content/pages/datasets/viper/index.md4
-rw-r--r--site/content/pages/datasets/youtube_celebrities/index.md3
20 files changed, 42 insertions, 42 deletions
diff --git a/site/content/pages/datasets/50_people_one_question/index.md b/site/content/pages/datasets/50_people_one_question/index.md
index 09406f43..8b7fb931 100644
--- a/site/content/pages/datasets/50_people_one_question/index.md
+++ b/site/content/pages/datasets/50_people_one_question/index.md
@@ -13,11 +13,11 @@ authors: Adam Harvey
------------
+## 50 People 1 Question
+
### sidebar
### end sidebar
-## 50 People 1 Question
-
[ page under development ]
{% include 'dashboard.html' %} \ No newline at end of file
diff --git a/site/content/pages/datasets/afad/index.md b/site/content/pages/datasets/afad/index.md
index c941cbc6..755506d8 100644
--- a/site/content/pages/datasets/afad/index.md
+++ b/site/content/pages/datasets/afad/index.md
@@ -10,11 +10,11 @@ authors: Adam Harvey
------------
+## Asian Face Age Dataset
+
### sidebar
### end sidebar
-## Asian Face Age Dataset
-
[ page under development ]
{% include 'dashboard.html' %}
diff --git a/site/content/pages/datasets/brainwash/index.md b/site/content/pages/datasets/brainwash/index.md
index 6bb7f287..156b02c7 100644
--- a/site/content/pages/datasets/brainwash/index.md
+++ b/site/content/pages/datasets/brainwash/index.md
@@ -14,11 +14,11 @@ authors: Adam Harvey
------------
+## Brainwash Dataset
+
### sidebar
### end sidebar
-## Brainwash Dataset
-
*Brainwash* is a head detection dataset created from San Francisco's Brainwash Cafe livecam footage. It includes 11,918 images of "everyday life of a busy downtown cafe"[^readme] captured at 100 second intervals throught the entire day. Brainwash dataset was captured during 3 days in 2014: October 27, November 13, and November 24. According the author's reserach paper introducing the dataset, the images were acquired with the help of Angelcam.com.[^end_to_end]
Brainwash is not a widely used dataset but since its publication by Stanford University in 2015, it has notably appeared in several research papers from the National University of Defense Technology in Changsha, China. In 2016 and in 2017 researchers there conducted studies on detecting people's heads in crowded scenes for the purpose of surveillance. [^localized_region_context] [^replacement_algorithm]
diff --git a/site/content/pages/datasets/caltech_10k/index.md b/site/content/pages/datasets/caltech_10k/index.md
index b69dbe43..db2383c7 100644
--- a/site/content/pages/datasets/caltech_10k/index.md
+++ b/site/content/pages/datasets/caltech_10k/index.md
@@ -11,11 +11,11 @@ authors: Adam Harvey
------------
+## Caltech 10K Faces Dataset
+
### sidebar
### end sidebar
-## Caltech 10K Faces Dataset
-
[ page under development ]
{% include 'dashboard.html' %}
diff --git a/site/content/pages/datasets/celeba/index.md b/site/content/pages/datasets/celeba/index.md
index 9cdbcad9..3f3aea79 100644
--- a/site/content/pages/datasets/celeba/index.md
+++ b/site/content/pages/datasets/celeba/index.md
@@ -13,11 +13,11 @@ authors: Adam Harvey
------------
+## CelebA Dataset
+
### sidebar
### end sidebar
-## CelebA Dataset
-
[ PAGE UNDER DEVELOPMENT ]
{% include 'dashboard.html' %}
diff --git a/site/content/pages/datasets/cofw/index.md b/site/content/pages/datasets/cofw/index.md
index 4c9f1d61..3cafe5b1 100644
--- a/site/content/pages/datasets/cofw/index.md
+++ b/site/content/pages/datasets/cofw/index.md
@@ -11,11 +11,11 @@ authors: Adam Harvey
------------
+## Caltech Occluded Faces in the Wild
+
### sidebar
### end sidebar
-## Caltech Occluded Faces in the Wild
-
[ PAGE UNDER DEVELOPMENT ]
{% include 'dashboard.html' %}
diff --git a/site/content/pages/datasets/duke_mtmc/index.md b/site/content/pages/datasets/duke_mtmc/index.md
index 37b2cd2d..ac0a3f2e 100644
--- a/site/content/pages/datasets/duke_mtmc/index.md
+++ b/site/content/pages/datasets/duke_mtmc/index.md
@@ -13,11 +13,11 @@ authors: Adam Harvey
------------
+## Duke MTMC
+
### sidebar
### end sidebar
-## Duke MTMC
-
[ page under development ]
Duke MTMC (Multi-Target, Multi-Camera Tracking) is a dataset of video recorded on Duke University campus for research and development of networked camera surveillance systems. MTMC tracking algorithms are used for citywide dragnet surveillance systems such as those used throughout China by SenseTime[^sensetime_qz] and the oppressive monitoring of 2.5 million Uyghurs in Xinjiang by SenseNets[^sensenets_uyghurs]. In fact researchers from both SenseTime[^sensetime1] [^sensetime2] and SenseNets[^sensenets_sensetime] used the Duke MTMC dataset for their research.
diff --git a/site/content/pages/datasets/feret/index.md b/site/content/pages/datasets/feret/index.md
index 15e5ccf0..034ff4aa 100644
--- a/site/content/pages/datasets/feret/index.md
+++ b/site/content/pages/datasets/feret/index.md
@@ -11,11 +11,11 @@ authors: Adam Harvey
------------
+# FacE REcognition Dataset (FERET)
+
### sidebar
### end sidebar
-# FacE REcognition Dataset (FERET)
-
[ page under development ]
{% include 'dashboard.html' %}
diff --git a/site/content/pages/datasets/hrt_transgender/index.md b/site/content/pages/datasets/hrt_transgender/index.md
index 1bca6a33..137e6dcb 100644
--- a/site/content/pages/datasets/hrt_transgender/index.md
+++ b/site/content/pages/datasets/hrt_transgender/index.md
@@ -14,11 +14,11 @@ authors: Adam Harvey
------------
+## HRT Transgender Dataset
+
### sidebar
### end sidebar
-## HRT Transgender Dataset
-
[ page under development ]
{% include 'dashboard.html' } \ No newline at end of file
diff --git a/site/content/pages/datasets/lfpw/index.md b/site/content/pages/datasets/lfpw/index.md
index 48c0d82a..09506313 100644
--- a/site/content/pages/datasets/lfpw/index.md
+++ b/site/content/pages/datasets/lfpw/index.md
@@ -11,11 +11,11 @@ authors: Adam Harvey
------------
+## Labeled Face Parts in The Wild
+
### sidebar
### end sidebar
-## Labeled Face Parts in The Wild
-
{% include 'dashboard.html' %}
--------
diff --git a/site/content/pages/datasets/lfw/index.md b/site/content/pages/datasets/lfw/index.md
index bc7f3222..5d90e87f 100644
--- a/site/content/pages/datasets/lfw/index.md
+++ b/site/content/pages/datasets/lfw/index.md
@@ -13,11 +13,11 @@ authors: Adam Harvey
------------
+## Labeled Faces in the Wild
+
### sidebar
### end sidebar
-## Labeled Faces in the Wild
-
[ PAGE UNDER DEVELOPMENT ]
*Labeled Faces in The Wild* (LFW) is "a database of face photographs designed for studying the problem of unconstrained face recognition[^lfw_www]. It is used to evaluate and improve the performance of facial recognition algorithms in academic, commercial, and government research. According to BiometricUpdate.com[^lfw_pingan], LFW is "the most widely used evaluation set in the field of facial recognition, LFW attracts a few dozen teams from around the globe including Google, Facebook, Microsoft Research Asia, Baidu, Tencent, SenseTime, Face++ and Chinese University of Hong Kong."
diff --git a/site/content/pages/datasets/market_1501/index.md b/site/content/pages/datasets/market_1501/index.md
index 67558bef..e106a498 100644
--- a/site/content/pages/datasets/market_1501/index.md
+++ b/site/content/pages/datasets/market_1501/index.md
@@ -13,11 +13,11 @@ authors: Adam Harvey
------------
+## Market-1501 Dataset
+
### sidebar
### end sidebar
-## Market-1501 Dataset
-
[ PAGE UNDER DEVELOPMENT]
{% include 'dashboard.html' %}
diff --git a/site/content/pages/datasets/msceleb/index.md b/site/content/pages/datasets/msceleb/index.md
index 6d45a0aa..70e85699 100644
--- a/site/content/pages/datasets/msceleb/index.md
+++ b/site/content/pages/datasets/msceleb/index.md
@@ -14,11 +14,11 @@ authors: Adam Harvey
------------
+## Microsoft Celeb Dataset (MS Celeb)
+
### sidebar
### end sidebar
-## Microsoft Celeb Dataset (MS Celeb)
-
[ PAGE UNDER DEVELOPMENT ]
https://www.hrw.org/news/2019/01/15/letter-microsoft-face-surveillance-technology
diff --git a/site/content/pages/datasets/oxford_town_centre/index.md b/site/content/pages/datasets/oxford_town_centre/index.md
index c26b81e7..c32cd022 100644
--- a/site/content/pages/datasets/oxford_town_centre/index.md
+++ b/site/content/pages/datasets/oxford_town_centre/index.md
@@ -14,11 +14,11 @@ authors: Adam Harvey
------------
+## Oxford Town Centre
+
### sidebar
### end sidebar
-## Oxford Town Centre
-
The Oxford Town Centre dataset is a CCTV video of pedestrians in a busy downtown area in Oxford used for research and development of activity and face recognition systems.[^ben_benfold_orig] The CCTV video was obtained from a public surveillance camera at the corner of Cornmarket and Market St. in Oxford, England and includes approximately 2,200 people. Since its publication in 2009[^guiding_surveillance] the Oxford Town Centre dataset has been used in over 80 verified research projects including commercial research by Amazon, Disney, OSRAM, and Huawei; and academic research in China, Israel, Russia, Singapore, the US, and Germany among dozens more.
The Oxford Town Centre dataset is unique in that it uses footage from a public surveillance camera that would otherwise be designated for public safety. The video shows that the pedestrians act normally and unrehearsed indicating they neither knew of or consented to participation in the research project.
diff --git a/site/content/pages/datasets/pipa/index.md b/site/content/pages/datasets/pipa/index.md
index fbf535a9..250878ff 100644
--- a/site/content/pages/datasets/pipa/index.md
+++ b/site/content/pages/datasets/pipa/index.md
@@ -13,11 +13,11 @@ authors: Adam Harvey
------------
+## People in Photo Albums
+
### sidebar
### end sidebar
-## People in Photo Albums
-
[ PAGE UNDER DEVELOPMENT ]
{% include 'dashboard.html' %}
diff --git a/site/content/pages/datasets/pubfig/index.md b/site/content/pages/datasets/pubfig/index.md
index 560e66de..5f2e1ad5 100644
--- a/site/content/pages/datasets/pubfig/index.md
+++ b/site/content/pages/datasets/pubfig/index.md
@@ -13,11 +13,11 @@ authors: Adam Harvey
------------
+## PubFig
+
### sidebar
### end sidebar
-## PubFig
-
[ PAGE UNDER DEVELOPMENT ]
{% include 'dashboard.html' %}
diff --git a/site/content/pages/datasets/uccs/index.md b/site/content/pages/datasets/uccs/index.md
index 1ad63f18..68fff4db 100644
--- a/site/content/pages/datasets/uccs/index.md
+++ b/site/content/pages/datasets/uccs/index.md
@@ -15,15 +15,17 @@ authors: Adam Harvey
------------
+## UnConstrained College Students
+
### sidebar
### end sidebar
-## UnConstrained College Students
-
UnConstrained College Students (UCCS) is a dataset of long-range surveillance photos captured at University of Colorado Colorado Springs developed primarily for research and development of "face detection and recognition research towards surveillance applications"[^uccs_vast]. According to the authors of two papers associated with the dataset, over 1,700 students and pedestrians were "photographed using a long-range high-resolution surveillance camera without their knowledge".[^funding_uccs] In this investigation, we examine the contents of the dataset, funding sources, photo EXIF data, and information from publicly available research project citations.
+
The UCCS dataset includes over 1,700 unique identities, most of which are students walking to and from class. As of 2018, it was the "largest surveillance [face recognition] benchmark in the public domain."[^surv_face_qmul] The photos were taken during the spring semesters of 2012 &ndash; 2013 on the West Lawn of the University of Colorado Colorado Springs campus. The photographs were timed to capture students during breaks between their scheduled classes in the morning and afternoon during Monday through Thursday. "For example, a student taking Monday-Wednesday classes at 12:30 PM will show up in the camera on almost every Monday and Wednesday."[^sapkota_boult].
+
![caption: Example images from the UnConstrained College Students Dataset. ](assets/uccs_grid.jpg)
The long-range surveillance images in the UnContsrained College Students dataset were captured 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]
@@ -31,6 +33,8 @@ Their setup made it impossible for students to know they were being photographed
![caption: The location at University of Colorado Colorado Springs where students were surreptitiously photographed with a long-range surveillance camera for use in a defense and intelligence agency funded research project on face recognition. Image: Google Maps](assets/uccs_map_aerial.jpg)
+In the two 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)), the researchers disclosed their funding sources as ODNI (United States 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. Further, UCCS's VAST site explicity [states](https://vast.uccs.edu/project/iarpa-janus/) they are part of the [IARPA Janus](https://www.iarpa.gov/index.php/research-programs/janus), a face recognition project developed to serve the needs of national intelligence interests.
+
The EXIF data embedded in the images shows that the photo capture times follow a similar pattern, 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 on Friday shows that the researchers were only interested in capturing images of students.
![caption: UCCS photos captured per weekday &copy; megapixels.cc](assets/uccs_exif_plot_days.png)
@@ -125,8 +129,6 @@ If you attended University of Colorado Colorado Springs and were captured by the
{% include 'cite_our_work.html' %}
-{% include 'last_updated.html' %}
-
### Footnotes
[^uccs_vast]: "2nd Unconstrained Face Detection and Open Set Recognition Challenge." <https://vast.uccs.edu/Opensetface/>. Accessed April 15, 2019.
diff --git a/site/content/pages/datasets/vgg_face2/index.md b/site/content/pages/datasets/vgg_face2/index.md
index d18d1c2e..acf2476e 100644
--- a/site/content/pages/datasets/vgg_face2/index.md
+++ b/site/content/pages/datasets/vgg_face2/index.md
@@ -10,12 +10,11 @@ authors: Adam Harvey
------------
+## VGG Face 2
### sidebar
### end sidebar
-## VGG Face 2
-
[ page under development ]
{% include 'dashboard.html' %}
diff --git a/site/content/pages/datasets/viper/index.md b/site/content/pages/datasets/viper/index.md
index e6dd167a..291b2136 100644
--- a/site/content/pages/datasets/viper/index.md
+++ b/site/content/pages/datasets/viper/index.md
@@ -14,11 +14,11 @@ authors: Adam Harvey
------------
+## VIPeR Dataset
+
### sidebar
### end sidebar
-## VIPeR Dataset
-
[ page under development ]
*VIPeR (Viewpoint Invariant Pedestrian Recognition)* is a dataset of pedestrian images captured at University of California Santa Cruz in 2007. Accoriding to the reserachers 2 "cameras were placed in different locations in an academic setting and subjects were notified of the presence of cameras, but were not coached or instructed in any way."
diff --git a/site/content/pages/datasets/youtube_celebrities/index.md b/site/content/pages/datasets/youtube_celebrities/index.md
index 6ce2a347..49bfaa2e 100644
--- a/site/content/pages/datasets/youtube_celebrities/index.md
+++ b/site/content/pages/datasets/youtube_celebrities/index.md
@@ -10,12 +10,11 @@ authors: Adam Harvey
------------
+## YouTube Celebrities
### sidebar
### end sidebar
-## YouTube Celebrities
-
[ page under development ]
{% include 'dashboard.html' %}