From c293006ba43944ffeb4dcab17b2256f3a5491a36 Mon Sep 17 00:00:00 2001 From: Jules Laplace Date: Thu, 17 Jan 2019 15:10:19 +0100 Subject: build cloud --- site/public/index.html | 30 ++++++++++++++++-------------- 1 file changed, 16 insertions(+), 14 deletions(-) (limited to 'site/public/index.html') diff --git a/site/public/index.html b/site/public/index.html index b322b093..a9f16f30 100644 --- a/site/public/index.html +++ b/site/public/index.html @@ -28,27 +28,29 @@
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-
-
-
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- MegaPixels is an art project that explores the dark side of face recognition datasets and the future of computer vision. +
+
+
+
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+ MegaPixels is an art project that explores the dark side of face recognition datasets and the future of computer vision. +
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- - -
+
+ + +
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- Made by Adam Harvey in collaboration with Jules Laplace, and in partnership with Mozilla.
- Read more about MegaPixels +
+ Made by Adam Harvey in collaboration with Jules Laplace, and in partnership with Mozilla.
+ Read more about MegaPixels +
-
+

Facial Recognition Datasets

SUMMARY

-- cgit v1.2.3-70-g09d2 From cacd7cc5a9296a192171e8046e12f62c7165f2e9 Mon Sep 17 00:00:00 2001 From: Jules Laplace Date: Thu, 17 Jan 2019 15:52:15 +0100 Subject: build --- client/faceSearch/faceSearch.query.js | 2 +- client/nameSearch/nameSearch.query.js | 2 +- site/assets/css/css.css | 8 +++++--- site/assets/js/app/face.js | 21 +++++++++++++++++++++ site/public/index.html | 26 +++++++++++++++++++------- site/templates/home.html | 26 +++++++++++++++++++------- 6 files changed, 66 insertions(+), 19 deletions(-) (limited to 'site/public/index.html') diff --git a/client/faceSearch/faceSearch.query.js b/client/faceSearch/faceSearch.query.js index 2d140813..de7e47b6 100644 --- a/client/faceSearch/faceSearch.query.js +++ b/client/faceSearch/faceSearch.query.js @@ -47,7 +47,7 @@ class FaceSearchQuery extends Component {

Search by Image

-

Searching {13456} images

+

Searching {13233} images

{'Use facial recognition to reverse search into the LFW dataset '} {'and see if it contains your photos.'} diff --git a/client/nameSearch/nameSearch.query.js b/client/nameSearch/nameSearch.query.js index 99c1da84..c0798c58 100644 --- a/client/nameSearch/nameSearch.query.js +++ b/client/nameSearch/nameSearch.query.js @@ -20,7 +20,7 @@ class NameSearchQuery extends Component { return (

Search by Name

-

Searching {13456} identities

+

Searching {13233} identities

{'Enter your name to see if you were included in this dataset..'}

diff --git a/site/assets/css/css.css b/site/assets/css/css.css index 18959c12..4689f67b 100644 --- a/site/assets/css/css.css +++ b/site/assets/css/css.css @@ -394,11 +394,11 @@ section.fullwidth .image { #face_container { pointer-events: none; position: absolute; - width: 50vw; + width: 66vw; height: 50vw; max-height: 70vh; top: 0; - right: 0; + right: -16vw; z-index: 0; text-align: center; } @@ -460,7 +460,9 @@ section.fullwidth .image { .dataset-intro h2 { margin-top: 40px; } - +.content .dataset-intro .first_paragraph { + margin-top: 10px; +} /* intro - list of datasets */ .dataset-list { diff --git a/site/assets/js/app/face.js b/site/assets/js/app/face.js index 1818e9aa..ab3d950f 100644 --- a/site/assets/js/app/face.js +++ b/site/assets/js/app/face.js @@ -16,6 +16,7 @@ var faceInit = function () { } return a })() + var lastSprite var last_t = 0, start_t = 0 var bgColor = 0x000000 // 0x191919 var colors = [ @@ -149,6 +150,26 @@ var faceInit = function () { function setCurrentFace(name) { name = name.replace('.png', '').split('_').filter(s => !s.match(/\d+/)).join(' ') currentFace.innerHTML = name + // if (lastSprite) { + // scene.remove(lastSprite) + // } + // var sprite = new THREE.TextSprite({ + // textSize: 12, + // redrawInterval: 1000, + // material: { + // color: 0xcccccc, + // }, + // texture: { + // text: name, + // fontFamily: '"Roboto", "Helvetica", sans-serif', + // }, + // }); + // sprite.position + // .setX(0) + // .setY(0) + // .setZ(0) + // scene.add(sprite); + // lastSprite = sprite } function updateFace(points) { updateCubeGeometry(points) diff --git a/site/public/index.html b/site/public/index.html index a9f16f30..df5121a8 100644 --- a/site/public/index.html +++ b/site/public/index.html @@ -38,7 +38,7 @@
- +
@@ -64,15 +64,24 @@
-

Regular Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.

-

Regular Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.

-

Regular Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.

+

+ MegaPixels is an online art project that explores the history of facial recognition from the perspective of datasets. MegaPixels aims to unravel the meanings behind the data and expose the darker corners of the biometric industry that have contributed to its growth. +

+

+ Through a mix of case studies, visualizations, and interactive tools, Megapixels will use facial recognition datasets to tell the history of modern biometrics. Many people have contributed to the development of facial recignition technology, both wittingly and unwittingly. Not only scientists, but also celebrities and regular internet users have played a part. +

+

+ Facial recognition is a mess of contradictinos. It works, yet it doesn't actually work. It's cheap and accessible, but also expensive and out of control. Facial recognition research has achieved headline grabbing superhuman accuracies over 99.9%, yet in practice it's also dangerously inaccurate. +

+

+ During a trial installation at Sudkreuz station in Berlin in 2018, 20% of the matches were wrong, a number so low that it should not have any connection to law enforcement or justice. And in London, the Metropolitan police had been using facial recognition software that mistakenly identified an alarming 98% of people as criminals, which perhaps is a crime itself. +

-
+

Dataset Portraits

- We have prepared detailed studies of some of the more noteworthy datasets. + We have prepared detailed case studies of some of the more noteworthy datasets, including tools to help you learn what is contained in these datasets, and even whether your own face has been used to train these algorithms.

@@ -110,7 +119,10 @@ - + + + + diff --git a/site/templates/home.html b/site/templates/home.html index 03a61af2..a8695b4e 100644 --- a/site/templates/home.html +++ b/site/templates/home.html @@ -12,7 +12,7 @@
- +
@@ -38,15 +38,24 @@
-

Regular Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.

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Regular Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.

-

Regular Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.

+

+ MegaPixels is an online art project that explores the history of facial recognition from the perspective of datasets. MegaPixels aims to unravel the meanings behind the data and expose the darker corners of the biometric industry that have contributed to its growth. +

+

+ Through a mix of case studies, visualizations, and interactive tools, Megapixels will use facial recognition datasets to tell the history of modern biometrics. Many people have contributed to the development of facial recignition technology, both wittingly and unwittingly. Not only scientists, but also celebrities and regular internet users have played a part. +

+

+ Facial recognition is a mess of contradictinos. It works, yet it doesn't actually work. It's cheap and accessible, but also expensive and out of control. Facial recognition research has achieved headline grabbing superhuman accuracies over 99.9%, yet in practice it's also dangerously inaccurate. +

+

+ During a trial installation at Sudkreuz station in Berlin in 2018, 20% of the matches were wrong, a number so low that it should not have any connection to law enforcement or justice. And in London, the Metropolitan police had been using facial recognition software that mistakenly identified an alarming 98% of people as criminals, which perhaps is a crime itself. +

-
+

Dataset Portraits

- We have prepared detailed studies of some of the more noteworthy datasets. + We have prepared detailed case studies of some of the more noteworthy datasets, including tools to help you learn what is contained in these datasets, and even whether your own face has been used to train these algorithms.

@@ -63,7 +72,10 @@ {% endblock %} {% block scripts %} - + + + + -- cgit v1.2.3-70-g09d2 From 927170748d5ae9f67df94059afda3d9620b97cd4 Mon Sep 17 00:00:00 2001 From: Jules Laplace Date: Thu, 17 Jan 2019 16:08:58 +0100 Subject: better css --- site/public/index.html | 10 +++++----- site/templates/home.html | 10 +++++----- 2 files changed, 10 insertions(+), 10 deletions(-) (limited to 'site/public/index.html') diff --git a/site/public/index.html b/site/public/index.html index df5121a8..d2986084 100644 --- a/site/public/index.html +++ b/site/public/index.html @@ -51,7 +51,7 @@
-

Facial Recognition Datasets

+

Face Recognition Datasets

SUMMARY

@@ -65,16 +65,16 @@

- MegaPixels is an online art project that explores the history of facial recognition from the perspective of datasets. MegaPixels aims to unravel the meanings behind the data and expose the darker corners of the biometric industry that have contributed to its growth. + MegaPixels is an online art project that explores the history of face recognition from the perspective of datasets. MegaPixels aims to unravel the meanings behind the data and expose the darker corners of the biometric industry that have contributed to its growth.

- Through a mix of case studies, visualizations, and interactive tools, Megapixels will use facial recognition datasets to tell the history of modern biometrics. Many people have contributed to the development of facial recignition technology, both wittingly and unwittingly. Not only scientists, but also celebrities and regular internet users have played a part. + Through a mix of case studies, visualizations, and interactive tools, Megapixels will use face recognition datasets to tell the history of modern biometrics. Many people have contributed to the development of face recignition technology, both wittingly and unwittingly. Not only scientists, but also celebrities and regular internet users have played a part.

- Facial recognition is a mess of contradictinos. It works, yet it doesn't actually work. It's cheap and accessible, but also expensive and out of control. Facial recognition research has achieved headline grabbing superhuman accuracies over 99.9%, yet in practice it's also dangerously inaccurate. + Face recognition is a mess of contradictinos. It works, yet it doesn't actually work. It's cheap and accessible, but also expensive and out of control. Face recognition research has achieved headline grabbing superhuman accuracies over 99.9%, yet in practice it's also dangerously inaccurate.

- During a trial installation at Sudkreuz station in Berlin in 2018, 20% of the matches were wrong, a number so low that it should not have any connection to law enforcement or justice. And in London, the Metropolitan police had been using facial recognition software that mistakenly identified an alarming 98% of people as criminals, which perhaps is a crime itself. + During a trial installation at Sudkreuz station in Berlin in 2018, 20% of the matches were wrong, a number so low that it should not have any connection to law enforcement or justice. And in London, the Metropolitan police had been using face recognition software that mistakenly identified an alarming 98% of people as criminals, which perhaps is a crime itself.

diff --git a/site/templates/home.html b/site/templates/home.html index a8695b4e..9756e21f 100644 --- a/site/templates/home.html +++ b/site/templates/home.html @@ -25,7 +25,7 @@
-

Facial Recognition Datasets

+

Face Recognition Datasets

SUMMARY

@@ -39,16 +39,16 @@

- MegaPixels is an online art project that explores the history of facial recognition from the perspective of datasets. MegaPixels aims to unravel the meanings behind the data and expose the darker corners of the biometric industry that have contributed to its growth. + MegaPixels is an online art project that explores the history of face recognition from the perspective of datasets. MegaPixels aims to unravel the meanings behind the data and expose the darker corners of the biometric industry that have contributed to its growth.

- Through a mix of case studies, visualizations, and interactive tools, Megapixels will use facial recognition datasets to tell the history of modern biometrics. Many people have contributed to the development of facial recignition technology, both wittingly and unwittingly. Not only scientists, but also celebrities and regular internet users have played a part. + Through a mix of case studies, visualizations, and interactive tools, Megapixels will use face recognition datasets to tell the history of modern biometrics. Many people have contributed to the development of face recignition technology, both wittingly and unwittingly. Not only scientists, but also celebrities and regular internet users have played a part.

- Facial recognition is a mess of contradictinos. It works, yet it doesn't actually work. It's cheap and accessible, but also expensive and out of control. Facial recognition research has achieved headline grabbing superhuman accuracies over 99.9%, yet in practice it's also dangerously inaccurate. + Face recognition is a mess of contradictinos. It works, yet it doesn't actually work. It's cheap and accessible, but also expensive and out of control. Face recognition research has achieved headline grabbing superhuman accuracies over 99.9%, yet in practice it's also dangerously inaccurate.

- During a trial installation at Sudkreuz station in Berlin in 2018, 20% of the matches were wrong, a number so low that it should not have any connection to law enforcement or justice. And in London, the Metropolitan police had been using facial recognition software that mistakenly identified an alarming 98% of people as criminals, which perhaps is a crime itself. + During a trial installation at Sudkreuz station in Berlin in 2018, 20% of the matches were wrong, a number so low that it should not have any connection to law enforcement or justice. And in London, the Metropolitan police had been using face recognition software that mistakenly identified an alarming 98% of people as criminals, which perhaps is a crime itself.

-- cgit v1.2.3-70-g09d2