ars update, preview

6 files changed, 20 insertions, 9 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 e7dec0aa..2276e386 100644
--- a/site/content/pages/datasets/50_people_one_question/index.md
+++ b/site/content/pages/datasets/50_people_one_question/index.md
@@ -1,6 +1,6 @@
 ------------
 
-status: published
+status: draft
 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 ...
@@ -23,9 +23,11 @@ authors: Adam Harvey
 
 ## 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. 
+(PAGE UNDER DEVELOPMENT)
 
- 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
+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' %}
 
diff --git a/site/content/pages/datasets/brainwash/index.md b/site/content/pages/datasets/brainwash/index.md
index 64f7e57d..4812e55d 100644
--- a/site/content/pages/datasets/brainwash/index.md
+++ b/site/content/pages/datasets/brainwash/index.md
@@ -33,6 +33,8 @@ authors: Adam Harvey
 
 ## Brainwash Dataset
 
+(PAGE UNDER DEVELOPMENT)
+
 *Brainwash* is a face detection dataset created from the Brainwash Cafe's livecam footage including 11,918 images of "everyday life of a busy downtown cafe[^readme]". The images are used to develop face detection algorithms for the "challenging task of detecting people in crowded scenes" and tracking them.
 
 Before closing in 2017, Brainwash Cafe was a "cafe and laundromat" located in San Francisco's SoMA district. The cafe published a publicy available livestream from the cafe with a view of the cash register, performance stage, and seating area.
diff --git a/site/content/pages/datasets/celeba/index.md b/site/content/pages/datasets/celeba/index.md
index 19b0291d..a2669cf6 100644
--- a/site/content/pages/datasets/celeba/index.md
+++ b/site/content/pages/datasets/celeba/index.md
@@ -1,6 +1,6 @@
 ------------
 
-status: published
+status: draft
 title: CelebA
 desc: <span style="color:#ffaa00">CelebA</span> is a dataset of people...
 subdesc: CelebA includes...
@@ -23,6 +23,8 @@ authors: Adam Harvey
 
 ## CelebA
 
+(PAGE UNDER DEVELOPMENT)
+
 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
diff --git a/site/content/pages/datasets/cofw/index.md b/site/content/pages/datasets/cofw/index.md
index 3b1cdb2b..d017f405 100644
--- a/site/content/pages/datasets/cofw/index.md
+++ b/site/content/pages/datasets/cofw/index.md
@@ -1,6 +1,6 @@
 ------------
 
-status: published
+status: draft
 title: Caltech Occluded Faces in The Wild
 desc: COFW: Caltech Occluded Faces in The Wild
 slug: cofw
@@ -10,7 +10,8 @@ authors: Adam Harvey
 
 ------------
 
-# Caltech Occluded Faces in The Wild
+
+### sidebar
 
 + Years: 1993-1996
 + Images: 14,126
@@ -19,9 +20,9 @@ authors: Adam Harvey
 + Funded by: ODNI, IARPA, Microsoft
 
 
-<!--header-->
+## Caltech Occluded Faces in the Wild
 
-![](assets/cofw_index.gif)
+(PAGE UNDER DEVELOPMENT)
 
 COFW is "is designed to benchmark face landmark algorithms in realistic conditions, which include heavy occlusions and large shape variations" [Robust face landmark estimation under occlusion].
 
diff --git a/site/content/pages/datasets/lfw/index.md b/site/content/pages/datasets/lfw/index.md
index cb326f0b..b07c0e4b 100644
--- a/site/content/pages/datasets/lfw/index.md
+++ b/site/content/pages/datasets/lfw/index.md
@@ -33,6 +33,8 @@ authors: Adam Harvey
 
 ## 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." 
 
 The LFW dataset includes 13,233 images of 5,749 people that were collected between 2002-2004. LFW is a subset of *Names of Faces* and is part of the first facial recognition training dataset created entirely from images appearing on the Internet. The people appearing in LFW are...
diff --git a/site/content/pages/datasets/mars/index.md b/site/content/pages/datasets/mars/index.md
index 19f9ced4..93edaeea 100644
--- a/site/content/pages/datasets/mars/index.md
+++ b/site/content/pages/datasets/mars/index.md
@@ -21,7 +21,9 @@ authors: Adam Harvey
 + Faces: TBD
 
 
-## 50 MARS
+## MARS
+
+(PAGE UNDER DEVELOPMENT)
 
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