diff options
| author | Jules Laplace <julescarbon@gmail.com> | 2019-02-27 22:15:03 +0100 |
|---|---|---|
| committer | Jules Laplace <julescarbon@gmail.com> | 2019-02-27 22:15:03 +0100 |
| commit | 9bac173e85865e4f0d1dba5071b40eb7ebe3dd1a (patch) | |
| tree | a8569788dbb6e6e4b71de0fd312863a1451c5740 /site/content | |
| parent | 67896d3cdde877de940a282bebacd10ca1c56499 (diff) | |
new intro header for datasets page and sidebar
Diffstat (limited to 'site/content')
| -rw-r--r-- | site/content/pages/datasets/lfw/index.md | 25 | ||||
| -rw-r--r-- | site/content/pages/datasets/uccs/index.md | 2 |
2 files changed, 14 insertions, 13 deletions
diff --git a/site/content/pages/datasets/lfw/index.md b/site/content/pages/datasets/lfw/index.md index 48d86e1f..1995e1f9 100644 --- a/site/content/pages/datasets/lfw/index.md +++ b/site/content/pages/datasets/lfw/index.md @@ -2,14 +2,14 @@ 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: Labeled Faces in The Wild (LFW) 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: lfw_index.gif +image: assets/lfw_feature.jpg caption: Eighteen 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: #00FF00 +color: #ff0000 authors: Adam Harvey ------------ @@ -22,12 +22,11 @@ authors: Adam Harvey + Origin: Yahoo News Images + Funding: (Possibly, partially CIA) -### Analysis +### INSIGHTS - There are about 3 men for every 1 woman (4,277 men and 1,472 women) in the LFW dataset[^lfw_www] - The person with the most images is [George W. Bush](http://vis-www.cs.umass.edu/lfw/person/George_W_Bush_comp.html) with 530 - There are about 3 George W. Bush's for every 1 [Tony Blair](http://vis-www.cs.umass.edu/lfw/person/Tony_Blair.html) -- 70% of people in the dataset have only 1 image and 29% have 2 or more images - The LFW dataset includes over 500 actors, 30 models, 10 presidents, 124 basketball players, 24 football players, 11 kings, 7 queens, and 1 [Moby](http://vis-www.cs.umass.edu/lfw/person/Moby.html) - In all 3 of the LFW publications [^lfw_original_paper], [^lfw_survey], [^lfw_tech_report] the words "ethics", "consent", and "privacy" appear 0 times - The word "future" appears 71 times @@ -40,20 +39,20 @@ The LFW dataset includes 13,233 images of 5,749 people that were collected betwe The *Names and Faces* dataset was the first face recognition dataset created entire from online photos. However, *Names and Faces* and *LFW* are not the first face recognition dataset created entirely "in the wild". That title belongs to the [UCD dataset](/datasets/ucd_faces/). Images obtained "in the wild" means using an image without explicit consent or awareness from the subject or photographer. -### 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. - - - ### Biometric Trade Routes -To understand how this dataset has been used, its citations have been geocoded to show an approximate geographic digital trade route of the biometric data. Lines indicate an organization (education, commercial, or governmental) that has cited the LFW dataset in their research. Data is compiled from [SemanticScholar](https://www.semanticscholar.org). +To understand how this dataset has been used, its citations have been geocoded to show an approximate geographic digital trade route of the biometric data. Lines indicate an organization (education, commercial, or governmental) that has cited the LFW dataset in their research. Data is compiled from [Semantic Scholar](https://www.semanticscholar.org). ``` 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 Browse or download the geocoded citation data collected for the LFW dataset. @@ -136,6 +135,7 @@ Ignore text below these lines ------- + ### Research - "In our experiments, we used 10000 images and associated captions from the Faces in the wilddata set [3]." @@ -146,6 +146,7 @@ Ignore text below these lines - This research is based upon work supported in part by the Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA), via contract number 2014-14071600010. - From "Labeled Faces in the Wild: Updates and New Reporting Procedures" +- 70% of people in the dataset have only 1 image and 29% have 2 or more images ### Footnotes diff --git a/site/content/pages/datasets/uccs/index.md b/site/content/pages/datasets/uccs/index.md index d40dce22..be1d2474 100644 --- a/site/content/pages/datasets/uccs/index.md +++ b/site/content/pages/datasets/uccs/index.md @@ -68,7 +68,7 @@ The more recent UCCS version of the dataset received funding from [^funding_uccs - You are welcomed to use these images for academic and journalistic use including for research papers, news stories, presentations. - Please use the following citation: -```MegaPixels.cc Adam Harvey 2013-2109.``` +```MegaPixels.cc Adam Harvey 2013-2019.``` [^funding_sb]: Sapkota, Archana and Boult, Terrance. "Large Scale Unconstrained Open Set Face Database." 2013. [^funding_uccs]: Günther, M. et. al. "Unconstrained Face Detection and Open-Set Face Recognition Challenge," 2018. Arxiv 1708.02337v3.
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