Merge branch 'master' of github.com:adamhrv/megapixels_dev

1 files changed, 5 insertions, 9 deletions

diff --git a/site/content/pages/datasets/brainwash/index.md b/site/content/pages/datasets/brainwash/index.md
index b57bcdf4..75b0c006 100644
--- a/site/content/pages/datasets/brainwash/index.md
+++ b/site/content/pages/datasets/brainwash/index.md
@@ -8,8 +8,8 @@ slug: brainwash
 cssclass: dataset
 image: assets/background.jpg
 year: 2015
-published: 2019-2-23
-updated: 2019-2-23
+published: 2019-4-18
+updated: 2019-4-18
 authors: Adam Harvey
 
 ------------
@@ -25,24 +25,20 @@ The Brainwash dataset is unique because it uses images from a publicly available
 
 Although Brainwash appears to be a less popular dataset, it was used in 2016 and 2017 by researchers from the National University of Defense Technology in China took note of the dataset and used it for two [research](https://www.semanticscholar.org/paper/Localized-region-context-and-object-feature-fusion-Li-Dou/b02d31c640b0a31fb18c4f170d841d8e21ffb66c) [projects](https://www.semanticscholar.org/paper/A-Replacement-Algorithm-of-Non-Maximum-Suppression-Zhao-Wang/591a4bfa6380c9fcd5f3ae690e3ac5c09b7bf37b) on advancing the capabilities of object detection to more accurately isolate the target region in an image ([PDF](https://www.itm-conferences.org/articles/itmconf/pdf/2017/04/itmconf_ita2017_05006.pdf)). [^localized_region_context] [^replacement_algorithm]. The dataset also appears in a 2017 [research paper](https://ieeexplore.ieee.org/document/7877809) from Peking University for the purpose of improving surveillance capabilities for "people detection in the crowded scenes". 
 
-
-![caption: A visualization of 81,973 head annotations from the Brainwash dataset training partition. © megapixels.cc](assets/brainwash_grid.jpg)
+![caption: A visualization of 81,973 head annotations from the Brainwash dataset training partition. Credit: megapixels.cc. License: Open Data Commons Public Domain Dedication (PDDL)](assets/brainwash_grid.jpg)
 
 {% include 'dashboard.html' %}
 
 {% include 'supplementary_header.html' %}
 
+![caption: An sample image from the Brainwash dataset used for training face and head detection algorithms for surveillance. The datset contains 11,916 more images like this one.  Credit: megapixels.cc. License: Open Data Commons Public Domain Dedication (PDDL)](assets/brainwash_example.jpg)
 
-![caption: An sample image from the Brainwash dataset used for training face and head detection algorithms for surveillance. The datset contains about 12,000 images. License: Open Data Commons Public Domain Dedication (PDDL)](assets/brainwash_example.jpg)
-
-![caption: A visualization of 81,973 head annotations from the Brainwash dataset training partition. © megapixels.cc](assets/brainwash_saliency_map.jpg)
-
+![caption: A visualization of the active regions for 81,973 head annotations from the Brainwash dataset training partition. Credit: megapixels.cc. License: Open Data Commons Public Domain Dedication (PDDL)](assets/brainwash_saliency_map.jpg)
 
 {% include 'cite_our_work.html' %}
 
 ### Footnotes
 
-
 [^readme]: "readme.txt" https://exhibits.stanford.edu/data/catalog/sx925dc9385.
 [^end_to_end]: Stewart, Russel. Andriluka, Mykhaylo. "End-to-end people detection in crowded scenes". 2016. 
 [^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.