From 2813b772c8a088307f7a1ab9df167875d320162d Mon Sep 17 00:00:00 2001 From: adamhrv Date: Wed, 17 Apr 2019 22:46:34 +0200 Subject: update duke --- site/content/pages/datasets/brainwash/index.md | 14 +++++--------- 1 file changed, 5 insertions(+), 9 deletions(-) (limited to 'site/content/pages/datasets/brainwash/index.md') 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. -- cgit v1.2.3-70-g09d2