lfw

2 files changed, 59 insertions, 3 deletions

diff --git a/site/content/pages/datasets/lfw/index.md b/site/content/pages/datasets/lfw/index.md
index f52b1be6..e85c7556 100644
--- a/site/content/pages/datasets/lfw/index.md
+++ b/site/content/pages/datasets/lfw/index.md
@@ -16,7 +16,7 @@ authors: Adam Harvey
 + Images: 13,233
 + Identities: 5,749
 + Origin: Yahoo News Images
-+ Funding: TBD
++ Funding: (Possibly, partially CIA*)
 
 ![fullwidth:Eighteen of the 5,749 people in the Labeled Faces in the Wild Dataset. The most widely used face dataset for benchmarking commercial face recognition algorithms.](assets/lfw_index.gif)
 
@@ -67,8 +67,19 @@ Browse or download the geocoded citation data collected for the LFW dataset.
 - The faces in the LFW dataset were detected using the Viola-Jones haarcascade face detector [^lfw_website] [^lfw-survey]
 - The LFW dataset is used by several of the largest tech companies in the world including "Google, Facebook, Microsoft Research Asia, Baidu, Tencent, SenseTime, Face++ and Chinese University of Hong Kong." [^lfw_pingan]
 - All images in the LFW dataset were copied from Yahoo News between 2002 - 2004
+<<<<<<< HEAD
 - In 2014, two of the four original authors of the LFW dataset received funding from IARPA and ODNI for their follow up paper [Labeled Faces in the Wild: Updates and New Reporting Procedures](https://www.semanticscholar.org/paper/Labeled-Faces-in-the-Wild-%3A-Updates-and-New-Huang-Learned-Miller/2d3482dcff69c7417c7b933f22de606a0e8e42d4) via IARPA contract number 2014-14071600010
 - The dataset includes 2 images of [George Tenet](http://vis-www.cs.umass.edu/lfw/person/George_Tenet.html), the former Director of Central Intelligence (DCI) for the Central Intelligence Agency whose facial biometrics were eventually used to help train facial recognition software in China and Russia
+=======
+- In 2014, 2/4 of the original authors of the LFW dataset received funding from IARPA and ODNI for their follow up paper "Labeled Faces in the Wild: Updates and New Reporting Procedures" via IARPA contract number 2014-14071600010
+- The LFW dataset was used Center for Intelligent Information Retrieval, the Central Intelligence Agency, the National Security Agency and National
+
+TODO (need citations for the following)
+
+-  SenseTime, who has relied on LFW for benchmarking their facial recognition performance, is one the leading provider of surveillance to the Chinese Government [need citation for this fact. is it the most? or is that Tencent?]
+- Two out of 4 of the original authors received funding from the Office of Director of National Intelligence and IARPA for their 2016 LFW survey follow up report
+
+>>>>>>> 13d7a450affe8ea4f368a97ea2014faa17702a4c
 
 ![Person with the most face images in LFW: former President George W. Bush](assets/lfw_montage_top1_640.jpg)
 ![Persons with the next most face images in LFW: Colin Powell (236), Tony Blair (144), and Donald Rumsfeld (121)](assets/lfw_montage_top2_4_640.jpg)
@@ -137,9 +148,14 @@ Ignore text below these lines
 
 Research
 
-> This research is based upon work supported in part by the Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA), via contract number 2014-14071600010. 
+- "In our experiments, we used 10000 images and associated captions from the Faces in the wilddata set [3]."
+- "Ths work was supported in part by the Center for Intelligent Information Retrieval, the Central Intelligence Agency, the National Security Agency and National Science Foundation under CAREER award IIS-0546666 and grant IIS-0326249."
+- From: "People-LDA: Anchoring Topics to People using Face Recognition"
+- This paper was presented at IEEE 11th ICCV conference Oct 14-21 but the main LFW paper "Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments" was not published until 2008
+- 10f17534dba06af1ddab96c4188a9c98a020a459
 
-"Labeled Faces in the Wild: Updates and New Reporting Procedures"
+- This research is based upon work supported in part by the Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA), via contract number 2014-14071600010.
+- From "Labeled Faces in the Wild: Updates and New Reporting Procedures"
 
 [^lfw_www]: <http://vis-www.cs.umass.edu/lfw/results.html>
 [^lfw_baidu]: Jingtuo Liu, Yafeng Deng, Tao Bai, Zhengping Wei, Chang Huang. Targeting Ultimate Accuracy: Face Recognition via Deep Embedding. <https://arxiv.org/abs/1506.07310>
diff --git a/site/content/pages/datasets/youtube_celebrities/index.md b/site/content/pages/datasets/youtube_celebrities/index.md
new file mode 100644
index 00000000..f5a7128d
--- /dev/null
+++ b/site/content/pages/datasets/youtube_celebrities/index.md
@@ -0,0 +1,40 @@
+------------
+
+status: published
+title: YouTube Celebrities
+desc: YouTube Celebrities
+slug: lfw
+published: 2019-2-23
+updated: 2019-2-23
+authors: Adam Harvey
+
+------------
+
+# YouTube Celebrities
+
++ Years: TBD
++ Images: TBD
++ Identities: TBD
++ Origin: YouTube.com
++ Funded by: CIA, US Army
+
+
+TODO
+
+
+--------
+
+RESEARCH below these lines
+
+--------
+
+> Selected dataset sequences: (a) MBGC, (b) CMU MoBo, (c) First
+Honda/UCSD, and (d) YouTube Celebrities.
+> This research is supported by the Central Intelligence Agency, the Biometrics
+Task Force and the Technical Support Working Group through US Army contract
+W91CRB-08-C-0093. The opinions, (cid:12)ndings, and conclusions or recommendations
+expressed in this publication are those of the authors and do not necessarily re(cid:13)ect
+the views of our sponsors.
+
+- in "Face Recognition From Video Draft 17"
+- International Journal of Pattern Recognition and Artifcial Intelligence WorldScientific Publishing Company
\ No newline at end of file