7 files changed, 158 insertions, 0 deletions
diff --git a/site/content/pages/datasets/50_people_one_question/assets/background.gif b/site/content/pages/datasets/50_people_one_question/assets/background.gif
deleted file mode 100644
index a0539bbb..00000000
--- a/site/content/pages/datasets/50_people_one_question/assets/background.gif
+++ /dev/null
diff --git a/site/content/pages/datasets/50_people_one_question/index.md b/site/content/pages/datasets/50_people_one_question/index.md
new file mode 100644
index 00000000..e7dec0aa
--- /dev/null
+++ b/site/content/pages/datasets/50_people_one_question/index.md
@@ -0,0 +1,34 @@
+------------
+
+status: published
+title: 50 People One Question
+desc: <span style="color:#ffaa00">People One Question</span> is a dataset of people from an online video series on YouTube and Vimeo used for building facial recogntion algorithms
+subdesc: People One Question dataset includes ...
+slug: 50_people_one_question
+cssclass: dataset
+image: assets/background.jpg
+published: 2019-2-23
+updated: 2019-2-23
+authors: Adam Harvey
+
+------------
+
+### sidebar
+
++ Collected: TBD
++ Published: TBD
++ Images: TBD
++ Faces: TBD
+
+
+## 50 People 1 Question
+
+ At vero eos et accusamus et iusto odio dignissimos ducimus, qui blanditiis praesentium voluptatum deleniti atque corrupti, quos dolores et quas molestias excepturi sint, obcaecati cupiditate non-provident, similique sunt in culpa, qui officia deserunt mollitia animi, id est laborum et dolorum fuga. Et harum quidem rerum facilis est et expedita distinctio. 
+
+ Nam libero tempore, cum soluta nobis est eligendi optio, cumque nihil impedit, quo minus id, quod maxime placeat, facere possimus, omnis voluptas assumenda est, omnis dolor repellendus. Temporibus autem quibusdam et aut officiis debitis aut rerum necessitatibus saepe eveniet, ut et voluptates repudiandae sint et molestiae non-recusandae. Itaque earum rerum hic tenetur a sapiente delectus, ut aut reiciendis voluptatibus maiores alias consequatur aut perferendis doloribus asperiores repellat
+
+{% include 'map.html' %}
+
+{% include 'supplementary_header.html' %}
+
+{% include 'citations.html' %}
+\ No newline at end of file
diff --git a/site/content/pages/datasets/brainwash/index.md b/site/content/pages/datasets/brainwash/index.md
index c60bdb23..5fe0da4c 100644
--- a/site/content/pages/datasets/brainwash/index.md
+++ b/site/content/pages/datasets/brainwash/index.md
@@ -8,6 +8,7 @@ slug: brainwash
 cssclass: dataset
 color: #ffaa00
 image: assets/background.jpg
+year: 2015
 published: 2019-2-23
 updated: 2019-2-23
 authors: Adam Harvey
diff --git a/site/content/pages/datasets/celeba/index.md b/site/content/pages/datasets/celeba/index.md
new file mode 100644
index 00000000..19b0291d
--- /dev/null
+++ b/site/content/pages/datasets/celeba/index.md
@@ -0,0 +1,42 @@
+------------
+
+status: published
+title: CelebA
+desc: <span style="color:#ffaa00">CelebA</span> is a dataset of people...
+subdesc: CelebA includes...
+slug: celeba
+cssclass: dataset
+image: assets/background.jpg
+published: 2019-2-23
+updated: 2019-2-23
+authors: Adam Harvey
+
+------------
+
+### sidebar
+
++ Collected: TBD
++ Published: TBD
++ Images: TBD
++ Faces: TBD
+
+
+## CelebA
+
+At vero eos et accusamus et iusto odio dignissimos ducimus, qui blanditiis praesentium voluptatum deleniti atque corrupti, quos dolores et quas molestias excepturi sint, obcaecati cupiditate non-provident, similique sunt in culpa, qui officia deserunt mollitia animi, id est laborum et dolorum fuga. Et harum quidem rerum facilis est et expedita distinctio. 
+
+Nam libero tempore, cum soluta nobis est eligendi optio, cumque nihil impedit, quo minus id, quod maxime placeat, facere possimus, omnis voluptas assumenda est, omnis dolor repellendus. Temporibus autem quibusdam et aut officiis debitis aut rerum necessitatibus saepe eveniet, ut et voluptates repudiandae sint et molestiae non-recusandae. Itaque earum rerum hic tenetur a sapiente delectus, ut aut reiciendis voluptatibus maiores alias consequatur aut perferendis doloribus asperiores repellat
+
+{% include 'map.html' %}
+
+{% include 'supplementary_header.html' %}
+
+{% include 'citations.html' %}
+
+-----
+
+### Research
+
+- "An Unsupervised Approach to Solving Inverse Problems using Generative Adversarial Networks" mentions use by sponsored by an agency of the United States government. Neither the United States government nor Lawrence Livermore National Security, LLC, nor any of their"
+- 7dab6fbf42f82f0f5730fc902f72c3fb628ef2f0
+- principal responsibility is ensuring the safety, security and reliability of the nation's nuclear weapons NNSA ( National Nuclear Security Administration )
+\ No newline at end of file
diff --git a/site/content/pages/datasets/kitti/index.md b/site/content/pages/datasets/kitti/index.md
new file mode 100644
index 00000000..25d0da69
--- /dev/null
+++ b/site/content/pages/datasets/kitti/index.md
@@ -0,0 +1,42 @@
+------------
+
+status: published
+title: KITTI
+desc: <span style="color:#ffaa00">Kitti</span> TBD
+subdesc: TBD
+slug: kitti
+cssclass: dataset
+image: assets/background.jpg
+year: 2015
+published: 2019-2-23
+updated: 2019-2-23
+authors: Adam Harvey
+
+------------
+
+### sidebar
+
++ Collected: TBD
+
+## Kitti
+
+add text
+
+{% include 'map.html' %}
+
+
+{% include 'supplementary_header.html' %}
+
+{% include 'citations.html' %}
+
+
+### Additional Information
+
+- The dataset author spoke about his research at the CVPR conference in 2016 <https://www.youtube.com/watch?v=Nl2fBKxwusQ>
+
+
+### Footnotes
+
+[^readme]: "readme.txt" https://exhibits.stanford.edu/data/catalog/sx925dc9385.
+[^localized_region_context]: Li, Y. and Dou, Y. and Liu, X. and Li, T. Localized Region Context and Object Feature Fusion for People Head Detection. ICIP16 Proceedings. 2016. Pages 594-598.
+[^replacement_algorithm]: Zhao. X, Wang Y, Dou, Y. A Replacement Algorithm of Non-Maximum Suppression Base on Graph Clustering. 
+\ No newline at end of file
diff --git a/site/content/pages/datasets/lfw/index.md b/site/content/pages/datasets/lfw/index.md
index 8d074501..833c6963 100644
--- a/site/content/pages/datasets/lfw/index.md
+++ b/site/content/pages/datasets/lfw/index.md
@@ -6,7 +6,11 @@ desc: Labeled Faces in The Wild (LFW) is a database of face photographs designed
 subdesc: It includes 13,456 images of 4,432 people's images copied from the Internet during 2002-2004.
 image: assets/background.jpg
 slug: lfw
+<<<<<<< HEAD
+year: 2007
+=======
 color: #ff0000
+>>>>>>> e6c50e5550275b8e9d2245201c77c6f9fef7a11a
 published: 2019-2-23
 updated: 2019-2-23
 authors: Adam Harvey
@@ -91,6 +95,7 @@ Ignore text below these lines
 - All images in the LFW dataset were copied from Yahoo News between 2002 - 2004
 - In 2014, two of the four original authors of the LFW dataset received funding from IARPA and ODNI for their followup 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
+- ./15/155205b8e288fd49bf203135871d66de879c8c04/paper.txt shows usage by DSTO Australia, supported parimal@iisc.ac.in
 
 ### Footnotes
 
diff --git a/site/content/pages/datasets/mars/index.md b/site/content/pages/datasets/mars/index.md
new file mode 100644
index 00000000..19f9ced4
--- /dev/null
+++ b/site/content/pages/datasets/mars/index.md
@@ -0,0 +1,34 @@
+------------
+
+status: published
+title: MARS
+desc: <span style="color:#ffaa00">MARS</span> is a dataset of people...
+subdesc: MARS includes...
+slug: mars
+cssclass: dataset
+image: assets/background.jpg
+published: 2019-2-23
+updated: 2019-2-23
+authors: Adam Harvey
+
+------------
+
+### sidebar
+
++ Collected: TBD
++ Published: TBD
++ Images: TBD
++ Faces: TBD
+
+
+## 50 MARS
+
+At vero eos et accusamus et iusto odio dignissimos ducimus, qui blanditiis praesentium voluptatum deleniti atque corrupti, quos dolores et quas molestias excepturi sint, obcaecati cupiditate non-provident, similique sunt in culpa, qui officia deserunt mollitia animi, id est laborum et dolorum fuga. Et harum quidem rerum facilis est et expedita distinctio. 
+
+Nam libero tempore, cum soluta nobis est eligendi optio, cumque nihil impedit, quo minus id, quod maxime placeat, facere possimus, omnis voluptas assumenda est, omnis dolor repellendus. Temporibus autem quibusdam et aut officiis debitis aut rerum necessitatibus saepe eveniet, ut et voluptates repudiandae sint et molestiae non-recusandae. Itaque earum rerum hic tenetur a sapiente delectus, ut aut reiciendis voluptatibus maiores alias consequatur aut perferendis doloribus asperiores repellat
+
+{% include 'map.html' %}
+
+{% include 'supplementary_header.html' %}
+
+{% include 'citations.html' %}
+\ No newline at end of file