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| author | adamhrv <adam@ahprojects.com> | 2019-03-03 13:09:30 +0100 |
|---|---|---|
| committer | adamhrv <adam@ahprojects.com> | 2019-03-03 13:09:30 +0100 |
| commit | 912cae0fefe0369faa7a777ecad02503b40a48fb (patch) | |
| tree | 481590213b22dc80f7315644849203a505e44b79 | |
| parent | f569c74d32e022aa690ebda938d26e049cc1609b (diff) | |
update pages
| -rwxr-xr-x[-rw-r--r--] | site/content/pages/datasets/brainwash/assets/background.jpg | bin | 35910 -> 150044 bytes | |||
| -rw-r--r-- | site/content/pages/datasets/brainwash/assets/background_02.jpg | bin | 0 -> 35910 bytes | |||
| -rw-r--r-- | site/content/pages/datasets/brainwash/index.md | 43 | ||||
| -rw-r--r-- | site/content/pages/datasets/lfw/index.md | 5 |
4 files changed, 37 insertions, 11 deletions
diff --git a/site/content/pages/datasets/brainwash/assets/background.jpg b/site/content/pages/datasets/brainwash/assets/background.jpg Binary files differindex eada1779..d971a331 100644..100755 --- a/site/content/pages/datasets/brainwash/assets/background.jpg +++ b/site/content/pages/datasets/brainwash/assets/background.jpg diff --git a/site/content/pages/datasets/brainwash/assets/background_02.jpg b/site/content/pages/datasets/brainwash/assets/background_02.jpg Binary files differnew file mode 100644 index 00000000..eada1779 --- /dev/null +++ b/site/content/pages/datasets/brainwash/assets/background_02.jpg diff --git a/site/content/pages/datasets/brainwash/index.md b/site/content/pages/datasets/brainwash/index.md index 7c43e008..cc2a54cc 100644 --- a/site/content/pages/datasets/brainwash/index.md +++ b/site/content/pages/datasets/brainwash/index.md @@ -2,11 +2,10 @@ status: published title: Brainwash -desc: Brainwash is a dataset of people from Dropcam footage of the Brainwash Cafe in San Francisco being used to train face detection algorithms -subdesc: The Brainwash dataset includes 11,918 images of people getting coffee at the Brainwash cafe during 2014 -caption: A pixelated sample image from the Brainwash dataset used for training face detection algorithms for surveillance +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 +caption: An sample image from the Brainwash dataset used for training face detection algorithms for surveillance. License: Open Data Commons Public Domain Dedication (PDDL) slug: brainwash -color: #ffaa00 image: assets/background.jpg published: 2019-2-23 updated: 2019-2-23 @@ -21,20 +20,43 @@ authors: Adam Harvey + Location: San Franscisco + Images: 11,917 + Faces: 91,146 -+ Resolution: 640x480px -+ Origin: Dropcam footage + Created by: Stanford Department of Computer Science ++ Funding: Max Planck Center for Visual Computing and Communication ++ Resolution: 640x480px ++ Origin: Angelcam IP Cam ++ Purpose: Training face detection -### INSIGHTS +### Insights - facts about Brainwash 1 - facts about Brainwash 2 ## Brainwash Dataset - 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. +*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 + + + +``` +map +``` +### Synthetic Faces +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. + + + + + +### Citations + +[explain methodology] Browse or download the geocoded citation data collected for the LFW dataset. + +``` +citations +``` -------- @@ -43,6 +65,11 @@ 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." + + > 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 diff --git a/site/content/pages/datasets/lfw/index.md b/site/content/pages/datasets/lfw/index.md index b7abbb68..b422ebcd 100644 --- a/site/content/pages/datasets/lfw/index.md +++ b/site/content/pages/datasets/lfw/index.md @@ -2,14 +2,13 @@ status: published title: Labeled Faces in The Wild -desc: Labeled Faces in The Wild (LFW) is a database of face photographs designed for studying the problem of unconstrained face recognition. +desc: <span style="color:#ff0000">Labeled Faces in The Wild (LFW)</span> is a database of face photographs designed for studying the problem of unconstrained face recognition. subdesc: It includes 13,456 images of 4,432 people’s images copied from the Internet during 2002-2004. image: assets/background.jpg caption: A few of the 5,749 people in the Labeled Faces in the Wild Dataset. The most widely used face dataset for benchmarking commercial face recognition algorithms. slug: lfw published: 2019-2-23 updated: 2019-2-23 -color: #ff0000 authors: Adam Harvey ------------ @@ -57,7 +56,7 @@ To visualize the types of photos in the dataset without explicitly publishing in ### Citations -Browse or download the geocoded citation data collected for the LFW dataset. +[explain methodology] Browse or download the geocoded citation data collected for the LFW dataset. ``` citations |
