udpate

7 files changed, 149 insertions, 15 deletions

diff --git a/site/content/pages/about/credits.md b/site/content/pages/about/credits.md
index 3cd0b05b..64c024c6 100644
--- a/site/content/pages/about/credits.md
+++ b/site/content/pages/about/credits.md
@@ -21,10 +21,4 @@ authors: Adam Harvey
 - [Terms and Conditions](/about/terms/)
 - [Privacy Policy](/about/privacy/)
 
-## End Sidebar
-
-- MegaPixels by Adam Harvey
-- Made with support from Mozilla
-- Site developed by Jules Laplace
-- Design and graphics: Adam Harvey
-- Research assistants: Berit Gilma
\ No newline at end of file
+## End Sidebar
\ No newline at end of file
diff --git a/site/content/pages/about/index.md b/site/content/pages/about/index.md
index 59f70d7a..ecae299a 100644
--- a/site/content/pages/about/index.md
+++ b/site/content/pages/about/index.md
@@ -32,8 +32,14 @@ MegaPixels aims to answer to these questions and reveal the stories behind the m
 
 MegaPixels aims to answer to these questions and reveal the stories behind the millions of images used to train, evaluate, and power the facial recognition surveillance algorithms used today. MegaPixels is authored by Adam Harvey, developed in collaboration with Jules LaPlace, and produced in partnership with Mozilla.
 
-![sideimage:Adam Harvey](assets/adam-harvey.jpg) **Adam Harvey** is an American artist and researcher based in Berlin. His previous projects (CV Dazzle, Stealth Wear, and SkyLift) explore the potential for countersurveillance as artwork. He is the founder of VFRAME (visual forensics software for human rights groups), the recipient of 2 PrototypeFund awards, and is currently a researcher in residence at Karlsruhe HfG studying artifical intelligence and datasets.
+### Adam Harvey
 
-![sideimage:Jules LaPlace](assets/jules-laplace.jpg) **Jules LaPlace** is an American artist and technologist also based in Berlin. He was previously the CTO of a NYC digital agency and currently works at VFRAME, developing computer vision for human rights groups, and building creative software for artists.
+![sideimage:Adam Harvey](assets/adam-harvey.jpg)Adam Harvey is an American artist and researcher based in Berlin. His previous projects (CV Dazzle, Stealth Wear, and SkyLift) explore the potential for countersurveillance as artwork. He is the founder of VFRAME (visual forensics software for human rights groups), the recipient of 2 PrototypeFund awards, and is currently a researcher in residence at Karlsruhe HfG studying artifical intelligence and datasets.
 
-![sideimage:Mozilla](assets/mozilla.png) **Mozilla** is a free software community founded in 1998 by members of Netscape. The Mozilla community uses, develops, spreads and supports Mozilla products, thereby promoting exclusively free software and open standards, with only minor exceptions. The community is supported institutionally by the not-for-profit Mozilla Foundation and its tax-paying subsidiary, the Mozilla Corporation.
+### Jules LaPlace
+
+![sideimage:Jules LaPlace](assets/jules-laplace.jpg) Jules LaPlace is an American artist and technologist also based in Berlin. He was previously the CTO of a NYC digital agency and currently works at VFRAME, developing computer vision for human rights groups, and building creative software for artists.
+
+### Mozilla
+
+![sideimage:Mozilla](assets/mozilla.png)  Mozilla is a free software community founded in 1998 by members of Netscape. The Mozilla community uses, develops, spreads and supports Mozilla products, thereby promoting exclusively free software and open standards, with only minor exceptions. The community is supported institutionally by the not-for-profit Mozilla Foundation and its tax-paying subsidiary, the Mozilla Corporation.
diff --git a/site/content/pages/datasets/brainwash/index.md b/site/content/pages/datasets/brainwash/index.md
new file mode 100644
index 00000000..d1dbd581
--- /dev/null
+++ b/site/content/pages/datasets/brainwash/index.md
@@ -0,0 +1,37 @@
+------------
+
+status: published
+title: Brainwash
+desc: Brainwash
+slug: Brainwash
+color: #ff0000
+image: assets/background.jpg
+published: 2019-2-23
+updated: 2019-2-23
+authors: Adam Harvey
+
+------------
+
+# Brainwash
+
++ Year: 2015
++ Images: 11,917
++ Faces: 91,146
++ Origin: Dropcam footage
++ Created by: Stanford
+
+
+<!--header-->
+
+![](assets/cofw_index.gif)
+
+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].
+
+
+--------
+
+RESEARCH below this line
+
+---
+
+add research about Brainwash here
\ No newline at end of file
diff --git a/site/content/pages/datasets/cofw/index.md b/site/content/pages/datasets/cofw/index.md
index 1d2a879c..7a668cec 100644
--- a/site/content/pages/datasets/cofw/index.md
+++ b/site/content/pages/datasets/cofw/index.md
@@ -1,6 +1,6 @@
 ------------
 
-status: draft
+status: published
 title: Caltech Occluded Faces in The Wild
 desc: COFW: Caltech Occluded Faces in The Wild
 slug: cofw
diff --git a/site/content/pages/datasets/lfw/index.md b/site/content/pages/datasets/lfw/index.md
index f92cd25f..83245470 100644
--- a/site/content/pages/datasets/lfw/index.md
+++ b/site/content/pages/datasets/lfw/index.md
@@ -52,9 +52,7 @@ map
 To visualize the types of photos in the dataset without explicitly publishing individual's identities a generative adversarial network (GAN) was trained on the entire dataset. The images in this video show a neural network learning the visual latent space and then interpolating between archetypical identities within the LFW dataset.
 
 ![Synthetically generated face from the visual space of LFW dataset](assets/synthetic_01.jpg)
-
 ![Synthetically generated face from the visual space of LFW dataset](assets/synthetic_02.jpg)
-
 ![Synthetically generated face from the visual space of LFW dataset](assets/synthetic_03.jpg)
 
 ### Citations
diff --git a/site/content/pages/research/02_what_computers_can_see/index.md b/site/content/pages/research/02_what_computers_can_see/index.md
new file mode 100644
index 00000000..0608afa9
--- /dev/null
+++ b/site/content/pages/research/02_what_computers_can_see/index.md
@@ -0,0 +1,101 @@
+------------
+
+status: draft
+title: What Computers Can See
+desc: What Computers Can See
+slug: what-computers-can-see
+published: 2018-12-15
+updated: 2018-12-15
+authors: Adam Harvey
+sync: false
+
+------------
+
+# What Computers Can See About Your Face
+
+
+A list of 100 things computer vision can see, eg:
+
+- age, race, gender, ancestral origin, body mass index
+- eye color, hair color, facial hair, glasses
+- beauty score, 
+- intelligence
+- what you're looking at
+- medical conditions
+- tired, drowsiness in car
+- affectiva: interest in product, intent to buy
+
+
+## From PubFig Dataset
+
+- Male
+- Asian
+- White
+- Black
+- Baby
+- Child
+- Youth
+- Middle Aged
+- Senior
+- Black Hair
+- Blond Hair
+- Brown Hair
+- Bald
+- No Eyewear
+- Eyeglasses
+- Sunglasses
+- Mustache
+- Smiling Frowning
+- Chubby
+- Blurry
+- Harsh Lighting
+- Flash
+- Soft Lighting
+- Outdoor Curly Hair
+- Wavy Hair
+- Straight Hair
+- Receding Hairline
+- Bangs
+- Sideburns
+- Fully Visible Forehead 
+- Partially Visible Forehead 
+- Obstructed Forehead
+- Bushy Eyebrows 
+- Arched Eyebrows
+- Narrow Eyes
+- Eyes Open
+- Big Nose
+- Pointy Nose
+- Big Lips
+- Mouth Closed
+- Mouth Slightly Open
+- Mouth Wide Open
+- Teeth Not Visible
+- No Beard
+- Goatee 
+- Round Jaw
+- Double Chin
+- Wearing Hat
+- Oval Face
+- Square Face
+- Round Face 
+- Color Photo
+- Posed Phot0
+- Attractive Man
+- Attractive Woman
+- Indian
+- Gray Hair
+- Bags Under Eyes
+- Heavy Makeup
+- Rosy Cheeks
+- Shiny Skin
+- Pale Skin
+- 5 o' Clock Shadow
+- Strong Nose-Mouth Lines
+- Wearing Lipstick
+- Flushed Face
+- High Cheekbones
+- Brown Eyes
+- Wearing Earrings
+- Wearing Necktie
+- Wearing Necklace
diff --git a/site/content/pages/research/index.md b/site/content/pages/research/index.md
index 5e8a2455..0c3c5202 100644
--- a/site/content/pages/research/index.md
+++ b/site/content/pages/research/index.md
@@ -12,5 +12,3 @@ sync: false
 ------------
 
 # Research Blog
-
-### The darkside of datasets and the future of computer vision