diff options
Diffstat (limited to 'site/content/pages')
| -rw-r--r-- | site/content/pages/datasets/brainwash/assets/brainwash_montage.jpg | bin | 0 -> 235410 bytes | |||
| -rw-r--r-- | site/content/pages/datasets/brainwash/index.md | 48 | ||||
| -rw-r--r-- | site/content/pages/datasets/lfw/index.md | 2 |
3 files changed, 15 insertions, 35 deletions
diff --git a/site/content/pages/datasets/brainwash/assets/brainwash_montage.jpg b/site/content/pages/datasets/brainwash/assets/brainwash_montage.jpg Binary files differnew file mode 100644 index 00000000..193fdd03 --- /dev/null +++ b/site/content/pages/datasets/brainwash/assets/brainwash_montage.jpg diff --git a/site/content/pages/datasets/brainwash/index.md b/site/content/pages/datasets/brainwash/index.md index 32cfd6bd..6c8cad97 100644 --- a/site/content/pages/datasets/brainwash/index.md +++ b/site/content/pages/datasets/brainwash/index.md @@ -3,7 +3,7 @@ status: published title: Brainwash desc: <span style="color:#ffaa00">Brainwash</span> is a dataset of people from webcams the Brainwash Cafe in San Francisco being used to train face detection algorithms -subdesc: Brainwash dataset includes 11,918 images of people getting coffee at the Brainwash cafe during 2014 +subdesc: Brainwash dataset includes 11,918 images of "everyday life of a busy downtown cafe" slug: brainwash cssclass: dataset image: assets/background.jpg @@ -17,63 +17,45 @@ authors: Adam Harvey + Collected: 2014 + Published: 2015 -+ Images: 11,917 ++ Images: 11,918 + Faces: 91,146 + Created by: Stanford Department of Computer Science + Funded by: Max Planck Center for Visual Computing and Communication + Resolution: 640x480px ++ Size: 4.1GB + Origin: Brainwash Cafe, San Franscisco + Purpose: Training face detection + Website: <a href="https://exhibits.stanford.edu/data/catalog/sx925dc9385">stanford.edu</a> ++ Paper: <a href="http://arxiv.org/abs/1506.04878">End-to-End People Detection in Crowded Scenes</a> -- more info1 -- more info2 -- more info3 ## Brainwash Dataset -*Brainwash* is a face detection dataset created from the Brainwash Cafe's livecam footage. The stream is It was published in 2015 by researchers at the Stanford University and has been used 1122 Folsom Street​ | USA +*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. -The photos were collected on -- Oct 27, 2014 -- Nov 11, 2014 -- Nov 245, 2017 +Before closing in 2017, Brainwash Cafe was a "cafe and laundromat" located in San Francisco's Lower Haight district. The cafe published a publicy available livestream from the cafe with a view of the cash register, performance stage, and seating area. -Sed ut perspiciatis, unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam eaque ipsa, quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt, explicabo. Nemo enim ipsam voluptatem, quia voluptas sit, aspernatur aut odit aut fugit, sed quia consequuntur magni dolores eos, qui ratione voluptatem sequi nesciunt, neque porro quisquam est, qui dolorem ipsum, quia dolor sit amet consectetur adipisci[ng] velit, sed quia non-numquam [do] eius modi tempora inci[di]dunt, ut labore et dolore magnam aliquam quaerat voluptatem. Ut enim ad minima veniam. +Since it's publication by Stanford in 2015, the Brainwash dataset has appeared in several notable research papers. In September 2016 four researchers from the National University of Defense Technology in Changsha, China used the Brainwash dataset for a research study on "people head detection in crowded scenes", concluding that their algorithm "achieves superior head detection performance on the crowded scenes dataset[^localized_region_context]". And again in 2017 three researchers at the National University of Defense Technology used Brainwash for a study on object detection noting "the data set used in our experiment is shown in Table 1, which includes one scene of the brainwash dataset[^replacement_algorithm]". - - -porro quisquam est, qui dolorem ipsum, quia dolor sit amet consectetur adipisci[ng] velit, sed quia non-numquam [do] eius modi tempora inci[di]dunt, ut labore et dolore magnam aliquam quaerat voluptatem. Ut enim ad minima veniam, quis nostrum[d] exercitationem ullam corporis suscipit laboriosam, nisi ut aliquid ex ea commodi consequatur? Quis autem vel eum iure reprehenderit, qui in ea voluptate velit esse, quam nihil molestiae consequatur, vel illum, qui dolorem eum fugiat, quo voluptas nulla pariatur? + + {% include 'map.html' %} -A short analysis of the map information {% include 'supplementary_header.html' %} {% include 'citations.html' %} --------- - -RESEARCH below this line - ---- - -The file is 4.1GB -- add sha256 hash -- the images were taken from Dropcam which was runnign on https://www.angelcam.com/ "Angelcam’s Real-time Surveillance takes the weight of keeping your home or business secure off your shoulders." - +### Additional Information -> This package contains the "Brainwash" dataset. The dataset consists of images capturing the everyday life of a busy downtown cafe and is split into the following subsets: -> training set: 10769 with 81975 annotated people -> validation set: 500 images with 3318 annotated people -> test set: 500 images with 5007 annotated people +- The dataset author spoke about his research at the CVPR conference in 2016 <https://www.youtube.com/watch?v=Nl2fBKxwusQ> -> Bounding box annotations are provided in a simple text file format. Each line in the file contains -image name followed by the list of annotation rectangles in the \[xmin, ymin, max, ymax\] format. -> We refer to the following arXiv submission for details on the dataset and the evaluation procedure: +### Footnotes -http://arxiv.org/abs/1506.04878
\ No newline at end of file +[^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 7c606364..80e30ab3 100644 --- a/site/content/pages/datasets/lfw/index.md +++ b/site/content/pages/datasets/lfw/index.md @@ -47,8 +47,6 @@ The *Names and Faces* dataset was the first face recognition dataset created ent {% include 'map.html' %} -Sed ut perspiciatis, unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam eaque ipsa, quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt, explicabo. Nemo enim ipsam voluptatem, quia voluptas sit, aspernatur aut odit aut fugit, sed quia. - {% include 'supplementary_header.html' %} {% include 'citations.html' %} |
