From 8580197b2e7b72cfeebeb8483a50908d0601706b Mon Sep 17 00:00:00 2001 From: Jules Laplace Date: Thu, 17 Jan 2019 15:53:53 +0100 Subject: load besser --- site/assets/css/applets.css | 3 +++ 1 file changed, 3 insertions(+) (limited to 'site/assets/css/applets.css') diff --git a/site/assets/css/applets.css b/site/assets/css/applets.css index 0c566a9f..1b4bd7d2 100644 --- a/site/assets/css/applets.css +++ b/site/assets/css/applets.css @@ -1,3 +1,6 @@ +.applet_container { + min-height: 340px; +} .applet { margin-bottom: 40px; transition: opacity 0.2s cubic-bezier(0,0,1,1); -- cgit v1.2.3-70-g09d2 From 0bbcee858eebc5d659c490f30fb94a9e3c79312f Mon Sep 17 00:00:00 2001 From: Jules Laplace Date: Thu, 17 Jan 2019 16:03:05 +0100 Subject: text rotation --- site/assets/css/applets.css | 3 +++ site/assets/css/css.css | 3 +++ site/assets/js/app/face.js | 1 + 3 files changed, 7 insertions(+) (limited to 'site/assets/css/applets.css') diff --git a/site/assets/css/applets.css b/site/assets/css/applets.css index 1b4bd7d2..1e57578e 100644 --- a/site/assets/css/applets.css +++ b/site/assets/css/applets.css @@ -57,6 +57,9 @@ .results > div:nth-child(3n+1) { margin-left: 0; } +.applet h2 { + font-size: 20pt; +} .query h2 { margin-top: 0; padding-top: 0; } diff --git a/site/assets/css/css.css b/site/assets/css/css.css index 4689f67b..8b99f740 100644 --- a/site/assets/css/css.css +++ b/site/assets/css/css.css @@ -401,6 +401,8 @@ section.fullwidth .image { right: -16vw; z-index: 0; text-align: center; + perspective: 500px; + perspective-origin: 50% 80%; } .currentFace { position: absolute; @@ -408,6 +410,7 @@ section.fullwidth .image { width: 100%; left: 0; text-align: center; + font-size: 26px; } .intro { max-width: 640px; diff --git a/site/assets/js/app/face.js b/site/assets/js/app/face.js index ab3d950f..0d3ce232 100644 --- a/site/assets/js/app/face.js +++ b/site/assets/js/app/face.js @@ -245,6 +245,7 @@ var faceInit = function () { mouseTarget.y += (mouse.y - mouseTarget.y) * 0.1 scene.rotation.x = (mouseTarget.y - 0.5) * Math.PI / 2 scene.rotation.y = (mouseTarget.x - 0.5) * Math.PI + currentFace.style.transform = "translateZ(0) rotateY(" + (scene.rotation.y/2) + "rad)" // scene.rotation.y += 0.01 last_t = t } -- cgit v1.2.3-70-g09d2 From 270499f33acbc61eb2389bfb923832a851366a37 Mon Sep 17 00:00:00 2001 From: Jules Laplace Date: Thu, 17 Jan 2019 17:03:49 +0100 Subject: border --- site/assets/css/applets.css | 19 +++++++++++++++++++ 1 file changed, 19 insertions(+) (limited to 'site/assets/css/applets.css') diff --git a/site/assets/css/applets.css b/site/assets/css/applets.css index 1e57578e..e450b46e 100644 --- a/site/assets/css/applets.css +++ b/site/assets/css/applets.css @@ -31,6 +31,25 @@ /* search results */ +.name_search, .face_search { + box-shadow: inset 0 0 40px #000; + background: #111; + padding: 20px 0; + /*background: black;*/ + width: 100%; +} +.name_search { + margin-top: 0px; + margin-bottom: 20px; +} +.face_search .applet { + max-width: 640px; + margin: 0 auto; +} +.name_search .applet { + max-width: 640px; + margin: 0 auto; +} .results { margin-top: 10px; padding-bottom: 10px; -- cgit v1.2.3-70-g09d2 From 37c1cd8f75e05490067d132f60f7e378809c6b49 Mon Sep 17 00:00:00 2001 From: Jules Laplace Date: Thu, 17 Jan 2019 17:13:52 +0100 Subject: border --- client/index.js | 2 +- site/assets/css/applets.css | 6 ++++++ site/public/datasets/lfw/index.html | 31 ++----------------------------- 3 files changed, 9 insertions(+), 30 deletions(-) (limited to 'site/assets/css/applets.css') diff --git a/client/index.js b/client/index.js index 2c003888..c9335f14 100644 --- a/client/index.js +++ b/client/index.js @@ -36,7 +36,7 @@ function appendApplets(applets) { appendTable(el, payload) break case 'map': - el.parentNode.classList.add('fullwidth') + el.parentNode.classList.add('wide') appendMap(el, payload) el.classList.add('loaded') break diff --git a/site/assets/css/applets.css b/site/assets/css/applets.css index e450b46e..f437d1e8 100644 --- a/site/assets/css/applets.css +++ b/site/assets/css/applets.css @@ -132,6 +132,12 @@ max-width: 40px; } +.map, .map .applet { + height: 500px; +} +.map { + margin-bottom: 20px; +} /* tabulator */ diff --git a/site/public/datasets/lfw/index.html b/site/public/datasets/lfw/index.html index 6526c4f8..057413ae 100644 --- a/site/public/datasets/lfw/index.html +++ b/site/public/datasets/lfw/index.html @@ -66,40 +66,13 @@

According to BiometricUpdate.com [^lfw_pingan], LFW is "the most widely used evaluation set in the field of facial recognition, LFW attracts a few dozen teams from around the globe including Google, Facebook, Microsoft Research Asia, Baidu, Tencent, SenseTime, Face++ and Chinese University of Hong Kong."

According to researchers at the Baidu Research – Institute of Deep Learning "LFW has been the most popular evaluation benchmark for face recognition, and played a very important role in facilitating the face recognition society to improve algorithm. [^lfw_baidu]."

In addition to commercial use as an evaluation tool, alll of the faces in LFW dataset are prepackaged into a popular machine learning code framework called scikit-learn.

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CompanyCountryIndustries
AratekChinaBiometric sensors for telecom, civil identification, finance, education, POS, and transportation
AratekChinaBiometric sensors for telecom, civil identification, finance, education, POS, and transportation
AratekChinaBiometric sensors for telecom, civil identification, finance, education, POS, and transportation
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Add 2-4 screenshots of companies mentioning LFW here

"PING AN Tech facial recognition receives high score in latest LFW test results"
"PING AN Tech facial recognition receives high score in latest LFW test results"
"Face Recognition Performance in LFW benchmark"
"Face Recognition Performance in LFW benchmark"
"The 1st place in face verification challenge, LFW"
"The 1st place in face verification challenge, LFW"

In benchmarking, companies use a dataset to evaluate their algorithms which are typically trained on other data. After training, researchers will use LFW as a benchmark to compare results with other algorithms.

For example, Baidu (est. net worth $13B) uses LFW to report results for their "Targeting Ultimate Accuracy: Face Recognition via Deep Embedding". According to the three Baidu researchers who produced the paper:

Citations

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Overall, LFW has at least 456 citations from 123 countries. 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.

-

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.

-
Distribution of citations per year per country for the top 5 countries with citations for the LFW Dataset
Distribution of citations per year per country for the top 5 countries with citations for the LFW Dataset

Conclusion

+

Overall, LFW has at least 116 citations from 11 countries.

+

Conclusion

The LFW face recognition training and evaluation dataset is a historically important face dataset as it was the first popular dataset to be created entirely from Internet images, paving the way for a global trend towards downloading anyone’s face from the Internet and adding it to a dataset. As will be evident with other datasets, LFW’s approach has now become the norm.

For all the 5,000 people in this datasets, their face is forever a part of facial recognition history. It would be impossible to remove anyone from the dataset because it is so ubiquitous. For their rest of the lives and forever after, these 5,000 people will continue to be used for training facial recognition surveillance.

Code

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