From dc7d5f87f470745a6c1ccbf649a6a07eadd09a55 Mon Sep 17 00:00:00 2001 From: adamhrv Date: Sun, 10 Mar 2019 18:30:27 +0100 Subject: about, rm old assets --- site/public/about/disclaimer/index.html | 3 +- site/public/about/index.html | 25 ++-- site/public/about/press/index.html | 5 +- site/public/about/privacy/index.html | 1 - site/public/about/research/index.html | 1 - site/public/about/terms/index.html | 1 - .../datasets/50_people_one_question/index.html | 4 +- site/public/datasets/afad/index.html | 1 - site/public/datasets/aflw/index.html | 1 - site/public/datasets/brainwash/index.html | 28 ++--- site/public/datasets/caltech_10k/index.html | 1 - site/public/datasets/celeba/index.html | 4 +- site/public/datasets/cofw/index.html | 4 +- site/public/datasets/facebook/index.html | 1 - site/public/datasets/feret/index.html | 1 - site/public/datasets/index.html | 1 - site/public/datasets/lfpw/index.html | 1 - site/public/datasets/lfw/index.html | 28 ++--- .../datasets/lfw/right-to-removal/index.html | 62 ---------- site/public/datasets/lfw/tables/index.html | 52 -------- site/public/datasets/mars/index.html | 4 +- site/public/datasets/uccs/index.html | 1 - site/public/datasets/vgg_face2/index.html | 1 - .../public/datasets/youtube_celebrities/index.html | 1 - site/public/datasets_v0/index.html | 53 --------- site/public/datasets_v0/lfw/index.html | 131 --------------------- .../datasets_v0/lfw/right-to-removal/index.html | 61 ---------- site/public/datasets_v0/lfw/tables/index.html | 52 -------- site/public/datasets_v0/vgg_face2/index.html | 80 ------------- site/public/index.html | 2 +- site/public/info/index.html | 1 - site/public/research/00_introduction/index.html | 1 - .../research/01_from_1_to_100_pixels/index.html | 1 - .../research/02_what_computers_can_see/index.html | 1 - site/public/research/index.html | 3 +- site/public/test/chart/index.html | 1 - site/public/test/citations/index.html | 1 - site/public/test/csv/index.html | 1 - site/public/test/datasets/index.html | 1 - site/public/test/face_search/index.html | 1 - site/public/test/gallery/index.html | 1 - site/public/test/index.html | 1 - site/public/test/map/index.html | 1 - site/public/test/name_search/index.html | 1 - site/public/test/style/index.html | 90 -------------- 45 files changed, 49 insertions(+), 668 deletions(-) delete mode 100644 site/public/datasets/lfw/right-to-removal/index.html delete mode 100644 site/public/datasets/lfw/tables/index.html delete mode 100644 site/public/datasets_v0/index.html delete mode 100644 site/public/datasets_v0/lfw/index.html delete mode 100644 site/public/datasets_v0/lfw/right-to-removal/index.html delete mode 100644 site/public/datasets_v0/lfw/tables/index.html delete mode 100644 site/public/datasets_v0/vgg_face2/index.html delete mode 100644 site/public/test/style/index.html (limited to 'site/public') diff --git a/site/public/about/disclaimer/index.html b/site/public/about/disclaimer/index.html index 2f915c48..b897cc34 100644 --- a/site/public/about/disclaimer/index.html +++ b/site/public/about/disclaimer/index.html @@ -21,16 +21,17 @@

Datasets - Research About

Disclaimer

MegaPixels is an art and research project by Adam Harvey about the origins and ethics of facial analysis datasets. Where do they come from? Who's included? Who created it and for what reason?

MegaPixels sets out to answer to these questions and reveal the stories behind the millions of images used to train, evaluate, and power the facial recognition surveillance algorithms used today. MegaPixels is authored by Adam Harvey, developed in collaboration with Jules LaPlace, and produced in partnership with Mozilla.

Notes

critical but informative
not anti-dataset
pro-sharing, pro-public dataset
w/o data
not generally anti-researcher, their parent organization should have checks in place to prevent dubious dataset collection methods

Adam Harvey is an American artist and researcher based in Berlin. His previous projects (CV Dazzle, Stealth Wear, and SkyLift) explore the potential for countersurveillance as artwork. He is the founder of VFRAME (visual forensics software for human rights groups), the recipient of 2 PrototypeFund awards, and is currently a researcher in residence at Karlsruhe HfG studying artifical intelligence and datasets.

Jules LaPlace is an American artist and technologist also based in Berlin. He was previously the CTO of a NYC digital agency and currently works at VFRAME, developing computer vision for human rights groups, and building creative software for artists.

Partnership

MegaPixels is produced in partnership with Mozilla, a free software community founded in 1998 by members of Netscape. The Mozilla community uses, develops, spreads and supports Mozilla products, thereby promoting exclusively free software and open standards, with only minor exceptions. The community is supported institutionally by the not-for-profit Mozilla Foundation and its tax-paying subsidiary, the Mozilla Corporation.

Ever since government agencies began developing face recognition in the early 1960's, datasets of face images have always been central to the development and evaluation of their algorithms. Today, these datasets no longer originate in labs, but instead from family photos albums posted on Flickr, CCTV cameras on college campuses, livestreams at cafes, search engine queries for celebrities, or videos on YouTube.

These datasets include many public figures, politicans, athletes, and actors; but also many non-public figures: digital activists, students, and pedestrians. Some of the images were originally used with creative commons licenses, but others were taken in unconstrained scenarios without anyone's awareness or consent. During the last year hundreds of these datasets have been collected to understand how they contribute to a global data supply chain powering surveillance.

MegaPixels is art and research by Adam Harvey about publicly available facial recognition datasets that aims to unravel the stories behind these datasets.

[Mozilla[(https://mozilla.org)] has provided the funding to launch this site, research the datasets, and build tools to help you understand the role that these datasets have played in creating surveillance technolgoies. The MegaPixels site is developed by Jules LaPlace.

Team

Adam Harvey is Berlin-based American artist and researcher. His previous projects (CV Dazzle, Stealth Wear, and SkyLift) explore the potential for countersurveillance as artwork. He is the founder of VFRAME (visual forensics software for human rights groups), the recipient of 2 PrototypeFund awards, and a researcher in residence at Karlsruhe HfG.

Jules LaPlace is an American creative technologist also based in Berlin. He was previously the CTO of a digital agency in NYC and now also works at VFRAME, developing computer vision for human rights groups. Jules also builds creative software for artists and musicians.

diff --git a/site/public/about/press/index.html b/site/public/about/press/index.html index d6dbdb2c..9bbe5f92 100644 --- a/site/public/about/press/index.html +++ b/site/public/about/press/index.html @@ -4,7 +4,7 @@ MegaPixels - + @@ -21,7 +21,6 @@

Datasets - Research About

@@ -37,7 +36,7 @@

Terms and Conditions

(list of press articles and images will go here)

(list of press articles and images will go here. maybe setup a macro template to use for thumbnail image + press info?)

Aug 22, 2018: "Transgender YouTubers had their videos grabbed to train facial recognition software" by James Vincent https://www.theverge.com/2017/8/22/16180080/transgender-youtubers-ai-facial-recognition-dataset

diff --git a/site/public/about/privacy/index.html b/site/public/about/privacy/index.html index a934b7e9..a719bfbd 100644 --- a/site/public/about/privacy/index.html +++ b/site/public/about/privacy/index.html @@ -21,7 +21,6 @@

Datasets - Research About

diff --git a/site/public/about/research/index.html b/site/public/about/research/index.html index 559cadd0..f04ec0ac 100644 --- a/site/public/about/research/index.html +++ b/site/public/about/research/index.html @@ -21,7 +21,6 @@

Datasets - Research About

diff --git a/site/public/about/terms/index.html b/site/public/about/terms/index.html index b8253a33..4fc64320 100644 --- a/site/public/about/terms/index.html +++ b/site/public/about/terms/index.html @@ -21,7 +21,6 @@

Datasets - Research About

diff --git a/site/public/datasets/50_people_one_question/index.html b/site/public/datasets/50_people_one_question/index.html index 945a1233..25df92b9 100644 --- a/site/public/datasets/50_people_one_question/index.html +++ b/site/public/datasets/50_people_one_question/index.html @@ -21,7 +21,6 @@

Datasets - Research About

@@ -45,7 +44,7 @@ -->

- To understand how this dataset has been used around the world... + To understand how 50 People One Question Dataset has been used around the world... affected global research on computer vision, surveillance, defense, and consumer technology, the and where this dataset has been used the locations of each organization that used or referenced the datast

@@ -76,6 +75,7 @@

Supplementary Information

Citations

Citations were collected from Semantic Scholar, a website which aggregates diff --git a/site/public/datasets/afad/index.html b/site/public/datasets/afad/index.html index cfb2dc76..a0aea1a6 100644 --- a/site/public/datasets/afad/index.html +++ b/site/public/datasets/afad/index.html @@ -21,7 +21,6 @@

Datasets - Research About

diff --git a/site/public/datasets/aflw/index.html b/site/public/datasets/aflw/index.html index 58291ba1..7aaa9af0 100644 --- a/site/public/datasets/aflw/index.html +++ b/site/public/datasets/aflw/index.html @@ -21,7 +21,6 @@

Datasets - Research About

diff --git a/site/public/datasets/brainwash/index.html b/site/public/datasets/brainwash/index.html index 5ba152dd..e5c9da79 100644 --- a/site/public/datasets/brainwash/index.html +++ b/site/public/datasets/brainwash/index.html @@ -21,7 +21,6 @@

Datasets - Research About

@@ -46,7 +45,7 @@ -->

- To understand how this dataset has been used around the world... + To understand how Brainwash Dataset has been used around the world... affected global research on computer vision, surveillance, defense, and consumer technology, the and where this dataset has been used the locations of each organization that used or referenced the datast

@@ -68,6 +67,18 @@ The data is generated by collecting all citations for all original research papers associated with the dataset. Then the PDFs are then converted to text and the organization names are extracted and geocoded. Because of the automated approach to extracting data, actual use of the dataset can not yet be confirmed. This visualization is provided to help locate and confirm usage and will be updated as data noise is reduced.

Who used Brainwash Dataset?

+ +

+ This bar chart presents a ranking of the top countries where citations originated. Mouse over individual columns + to see yearly totals. Colors are only assigned to the top 10 overall countries. +

+ +

@@ -77,6 +88,7 @@

Supplementary Information

Citations

Citations were collected from Semantic Scholar, a website which aggregates @@ -87,18 +99,6 @@

Who used Brainwash Dataset?

- -

- This bar chart presents a ranking of the top countries where citations originated. Mouse over individual columns - to see yearly totals. Colors are only assigned to the top 10 overall countries. -

- -

Additional Information

The dataset author spoke about his research at the CVPR conference in 2016 https://www.youtube.com/watch?v=Nl2fBKxwusQ

Datasets - Research About

- To understand how this dataset has been used around the world... + To understand how CelebA Dataset has been used around the world... affected global research on computer vision, surveillance, defense, and consumer technology, the and where this dataset has been used the locations of each organization that used or referenced the datast

Supplementary Information

Citations

Citations were collected from Semantic Scholar, a website which aggregates diff --git a/site/public/datasets/cofw/index.html b/site/public/datasets/cofw/index.html index 72e38eb6..8410559f 100644 --- a/site/public/datasets/cofw/index.html +++ b/site/public/datasets/cofw/index.html @@ -21,7 +21,6 @@

Datasets - Research About

@@ -55,7 +54,7 @@ To increase the number of training images, and since COFW has the exact same la -->

- To understand how this dataset has been used around the world... + To understand how COFW Dataset has been used around the world... affected global research on computer vision, surveillance, defense, and consumer technology, the and where this dataset has been used the locations of each organization that used or referenced the datast

@@ -86,6 +85,7 @@ To increase the number of training images, and since COFW has the exact same la

Supplementary Information

Citations

Citations were collected from Semantic Scholar, a website which aggregates diff --git a/site/public/datasets/facebook/index.html b/site/public/datasets/facebook/index.html index a9f1b225..7fb1901a 100644 --- a/site/public/datasets/facebook/index.html +++ b/site/public/datasets/facebook/index.html @@ -21,7 +21,6 @@

Datasets - Research About

diff --git a/site/public/datasets/feret/index.html b/site/public/datasets/feret/index.html index 51f9038a..ce60f3de 100644 --- a/site/public/datasets/feret/index.html +++ b/site/public/datasets/feret/index.html @@ -21,7 +21,6 @@

Datasets - Research About

diff --git a/site/public/datasets/index.html b/site/public/datasets/index.html index 3bf06a0a..ab9f852d 100644 --- a/site/public/datasets/index.html +++ b/site/public/datasets/index.html @@ -21,7 +21,6 @@

Datasets - Research About

diff --git a/site/public/datasets/lfpw/index.html b/site/public/datasets/lfpw/index.html index 385bd189..087d8b1d 100644 --- a/site/public/datasets/lfpw/index.html +++ b/site/public/datasets/lfpw/index.html @@ -21,7 +21,6 @@

Datasets - Research About

diff --git a/site/public/datasets/lfw/index.html b/site/public/datasets/lfw/index.html index 27b9e05a..814cd167 100644 --- a/site/public/datasets/lfw/index.html +++ b/site/public/datasets/lfw/index.html @@ -21,7 +21,6 @@

Datasets - Research About

@@ -58,7 +57,7 @@ -->

- To understand how this dataset has been used around the world... + To understand how LFW has been used around the world... affected global research on computer vision, surveillance, defense, and consumer technology, the and where this dataset has been used the locations of each organization that used or referenced the datast

@@ -80,6 +79,18 @@ The data is generated by collecting all citations for all original research papers associated with the dataset. Then the PDFs are then converted to text and the organization names are extracted and geocoded. Because of the automated approach to extracting data, actual use of the dataset can not yet be confirmed. This visualization is provided to help locate and confirm usage and will be updated as data noise is reduced.

Who used LFW?

+ +

+ This bar chart presents a ranking of the top countries where citations originated. Mouse over individual columns + to see yearly totals. Colors are only assigned to the top 10 overall countries. +

+ +

@@ -89,6 +100,7 @@

Supplementary Information

Citations

Citations were collected from Semantic Scholar, a website which aggregates @@ -99,18 +111,6 @@

Who used LFW?

- -

- This bar chart presents a ranking of the top countries where citations originated. Mouse over individual columns - to see yearly totals. Colors are only assigned to the top 10 overall countries. -

- -

Commercial Use

Add a paragraph about how usage extends far beyond academia into research centers for largest companies in the world. And even funnels into CIA funded research in the US and defense industry usage in China.

Research, text, and graphics ©Adam Harvey / megapixels.cc

diff --git a/site/public/datasets/lfw/right-to-removal/index.html b/site/public/datasets/lfw/right-to-removal/index.html deleted file mode 100644 index 5dc269b2..00000000 --- a/site/public/datasets/lfw/right-to-removal/index.html +++ /dev/null @@ -1,62 +0,0 @@ - - - - MegaPixels - - - - - - - - - - - - -

- -

MegaPixels

- -

- Datasets - Research - About -

- -

Labeled Faces in the Wild

Right to Removal

If you are affected by disclosure of your identity in this dataset please do contact the authors. Many have stated that they are willing to remove images upon request. The authors of the LFW dataset provide the following email for inquiries:

You can use the following message to request removal from the dataset:

To: Gary Huang mailto:gbhuang@cs.umass.edu

Subject: Request for Removal from LFW Face Dataset

Dear [researcher name],

I am writing to you about the "Labeled Faces in The Wild Dataset". Recently I discovered that your dataset includes my identity and I no longer wish to be included in your dataset.

The dataset is being used thousands of companies around the world to improve facial recognition software including usage by governments for the purpose of law enforcement, national security, tracking consumers in retail environments, and tracking individuals through public spaces.

My name as it appears in your dataset is [your name]. Please remove all images from your dataset and inform your newsletter subscribers to likewise update their copies.

- [your name]

- -

- - - - - \ No newline at end of file diff --git a/site/public/datasets/lfw/tables/index.html b/site/public/datasets/lfw/tables/index.html deleted file mode 100644 index dd460843..00000000 --- a/site/public/datasets/lfw/tables/index.html +++ /dev/null @@ -1,52 +0,0 @@ - - - - MegaPixels - - - - - - - - - - - - -

- -

MegaPixels

- -

- Datasets - Research - About -

- -

Labeled Faces in the Wild

Tables

- -

- - - - - \ No newline at end of file diff --git a/site/public/datasets/mars/index.html b/site/public/datasets/mars/index.html index 1ebf1138..66084e15 100644 --- a/site/public/datasets/mars/index.html +++ b/site/public/datasets/mars/index.html @@ -21,7 +21,6 @@

Datasets - Research About

@@ -45,7 +44,7 @@ -->

- To understand how this dataset has been used around the world... + To understand how MARS has been used around the world... affected global research on computer vision, surveillance, defense, and consumer technology, the and where this dataset has been used the locations of each organization that used or referenced the datast

@@ -76,6 +75,7 @@

Supplementary Information

Citations

Citations were collected from Semantic Scholar, a website which aggregates diff --git a/site/public/datasets/uccs/index.html b/site/public/datasets/uccs/index.html index 21d1e6bb..0283bf3b 100644 --- a/site/public/datasets/uccs/index.html +++ b/site/public/datasets/uccs/index.html @@ -21,7 +21,6 @@

Datasets - Research About

diff --git a/site/public/datasets/vgg_face2/index.html b/site/public/datasets/vgg_face2/index.html index d0a161cb..42e3b961 100644 --- a/site/public/datasets/vgg_face2/index.html +++ b/site/public/datasets/vgg_face2/index.html @@ -21,7 +21,6 @@

Datasets - Research About

diff --git a/site/public/datasets/youtube_celebrities/index.html b/site/public/datasets/youtube_celebrities/index.html index f830eb3a..dd230926 100644 --- a/site/public/datasets/youtube_celebrities/index.html +++ b/site/public/datasets/youtube_celebrities/index.html @@ -21,7 +21,6 @@

Datasets - Research About

diff --git a/site/public/datasets_v0/index.html b/site/public/datasets_v0/index.html deleted file mode 100644 index 19e8fda1..00000000 --- a/site/public/datasets_v0/index.html +++ /dev/null @@ -1,53 +0,0 @@ - - - - MegaPixels - - - - - - - - - - - - -

- -

MegaPixels

- -

- Datasets - Research - About -

- -

Facial Recognition Datasets

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.

Summary

Found

275 datasets

Created between

1993-2018

Smallest dataset

20 images

Largest dataset

10,000,000 images

Highest resolution faces

450x500 (Unconstrained College Students)

Lowest resolution faces

16x20 pixels (QMUL SurvFace)

- -

- - - - - \ No newline at end of file diff --git a/site/public/datasets_v0/lfw/index.html b/site/public/datasets_v0/lfw/index.html deleted file mode 100644 index aefe393b..00000000 --- a/site/public/datasets_v0/lfw/index.html +++ /dev/null @@ -1,131 +0,0 @@ - - - - MegaPixels - - - - - - - - - - - - -

- -

MegaPixels

- -

- Datasets - Research - About -

- -

Labeled Faces in the Wild

Created

2007

Images

13,233

People

5,749

Created From

Yahoo News images

Search available

Searchable

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.

Intro

Labeled Faces in The Wild (LFW) is among the most widely used facial recognition training datasets in the world and is the first of its kind to be created entirely from images posted online. The LFW dataset includes 13,233 images of 5,749 people that were collected between 2002-2004. Use the tools below to check if you were included in this dataset or scroll down to read the analysis.

Three paragraphs describing the LFW dataset in a format that can be easily replicated for the other datasets. Nothing too custom. An analysis of the initial research papers with context relative to all the other dataset papers.

From George W. Bush to Jamie Lee Curtis: all 5,749 people in the LFW Dataset sorted from most to least images collected.

LFW by the Numbers

Was first published in 2007
Developed out of a prior dataset from Berkely called "Faces in the Wild" or "Names and Faces" [^lfw_original_paper]
Includes 13,233 images and 5,749 different people [^lfw_website]
There are about 3 men for every 1 woman (4,277 men and 1,472 women)[^lfw_website]
The person with the most images is George W. Bush with 530
Most people (70%) in the dataset have only 1 image
Thre are 1,680 people in the dataset with 2 or more images [^lfw_website]
Two out of 4 of the original authors received funding from the Office of Director of National Intelligence and IARPA for their 2016 LFW survey follow up report
The LFW dataset includes over 500 actors, 30 models, 10 presidents, 24 football players, 124 basketball players, 11 kings, and 2 queens
In all the LFW publications provided by the authors the words "ethics", "consent", and "privacy" appear 0 times [^lfw_original_paper], [^lfw_survey], [^lfw_tech_report] , [^lfw_website]
The word "future" appears 71 times

Facts

Was created for the purpose of improving "unconstrained face recognition" [^lfw_original_paper]
All images in LFW were obtained "in the wild" meaning without any consent from the subject or from the photographer
The faces were detected using the Viola-Jones haarcascade face detector [^lfw_website] [^lfw_survey]
Is considered the "most popular benchmark for face recognition" [^lfw_baidu]
Is "the most widely used evaluation set in the field of facial recognition" [^lfw_pingan]
Is used by several of the largest tech companies in the world including "Google, Facebook, Microsoft Research Asia, Baidu, Tencent, SenseTime, Face++ and Chinese University of Hong Kong." [^lfw_pingan]
-
All images were copied from Yahoo News between 2002 - 2004 [^lfw_original_paper]
-
SenseTime, who has relied on LFW for benchmarking their facial recognition performance, is the leading provider of surveillance to the Chinese Government

former President George W. Bush

Colin Powell (236), Tony Blair (144), and Donald Rumsfeld (121)

People and Companies using the LFW Dataset

This section describes who is using the dataset and for what purposes. It should include specific examples of people or companies with citations and screenshots. This section is followed up by the graph, the map, and then the supplementary material.

The LFW dataset is used by numerous companies for benchmarking algorithms and in some cases training. According to the benchmarking results page [^lfw_results] provided by the authors, over 2 dozen companies have contributed their benchmark results.

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.

"PING AN Tech facial recognition receives high score in latest LFW test results"

"Face Recognition Performance in LFW benchmark"

"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

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

#!/usr/bin/python
-
-import numpy as np
-from sklearn.datasets import fetch_lfw_people
-import imageio
-import imutils
-
-# download LFW dataset (first run takes a while)
-lfw_people = fetch_lfw_people(min_faces_per_person=1, resize=1, color=True, funneled=False)
-
-# introspect dataset
-n_samples, h, w, c = lfw_people.images.shape
-print(f'{n_samples:,} images at {w}x{h} pixels')
-cols, rows = (176, 76)
-n_ims = cols * rows
-
-# build montages
-im_scale = 0.5
-ims = lfw_people.images[:n_ims]
-montages = imutils.build_montages(ims, (int(w * im_scale,   int(h * im_scale)), (cols, rows))
-montage = montages[0]
-
-# save full montage image
-imageio.imwrite('lfw_montage_full.png', montage)
-
-# make a smaller version
-montage_960 = imutils.resize(montage, width=960)
-imageio.imwrite('lfw_montage_960.jpg', montage_960)
-

- -

- - - - - \ No newline at end of file diff --git a/site/public/datasets_v0/lfw/right-to-removal/index.html b/site/public/datasets_v0/lfw/right-to-removal/index.html deleted file mode 100644 index 338245bf..00000000 --- a/site/public/datasets_v0/lfw/right-to-removal/index.html +++ /dev/null @@ -1,61 +0,0 @@ - - - - MegaPixels - - - - - - - - - - - - -

- -

MegaPixels

- -

- Datasets - Research - About -

- -

Labeled Faces in the Wild

Right to Removal

You can use the following message to request removal from the dataset:

To: Gary Huang mailto:gbhuang@cs.umass.edu

Subject: Request for Removal from LFW Face Dataset

Dear [researcher name],

I am writing to you about the "Labeled Faces in The Wild Dataset". Recently I discovered that your dataset includes my identity and I no longer wish to be included in your dataset.

My name as it appears in your dataset is [your name]. Please remove all images from your dataset and inform your newsletter subscribers to likewise update their copies.

- [your name]

- -

- - - - - \ No newline at end of file diff --git a/site/public/datasets_v0/lfw/tables/index.html b/site/public/datasets_v0/lfw/tables/index.html deleted file mode 100644 index 348a0759..00000000 --- a/site/public/datasets_v0/lfw/tables/index.html +++ /dev/null @@ -1,52 +0,0 @@ - - - - MegaPixels - - - - - - - - - - - - -

- -

MegaPixels

- -

- Datasets - Research - About -

- -

Labeled Faces in the Wild

Tables

- -

- - - - - \ No newline at end of file diff --git a/site/public/datasets_v0/vgg_face2/index.html b/site/public/datasets_v0/vgg_face2/index.html deleted file mode 100644 index 4f8cb550..00000000 --- a/site/public/datasets_v0/vgg_face2/index.html +++ /dev/null @@ -1,80 +0,0 @@ - - - - MegaPixels - - - - - - - - - - - - -

- -

MegaPixels

- -

- Datasets - Research - About -

- -

VGG Faces2

Created

2018

Images

3.3M

People

9,000

Created From

Scraping search engines

Search available

[Searchable](#)

VGG Face2 is the updated version of the VGG Face dataset and now includes over 3.3M face images from over 9K people. The identities were selected by taking the top 500K identities in Google's Knowledge Graph of celebrities and then selecting only the names that yielded enough training images. The dataset was created in the UK but funded by Office of Director of National Intelligence in the United States.

VGG Face2 by the Numbers

1,331 actresses, 139 presidents
3 husbands and 16 wives
2 snooker player
1 guru
1 pornographic actress
3 computer programmer

Names and descriptions

The original VGGF2 name list has been updated with the results returned from Google Knowledge
Names with a similarity score greater than 0.75 where automatically updated. Scores computed using import difflib; seq = difflib.SequenceMatcher(a=a.lower(), b=b.lower()); score = seq.ratio()
The 97 names with a score of 0.75 or lower were manually reviewed and includes name changes validating using Wikipedia.org results for names such as "Bruce Jenner" to "Caitlyn Jenner", spousal last-name changes, and discretionary changes to improve search results such as combining nicknames with full name when appropriate, for example changing "Aleksandar Petrović" to "Aleksandar 'Aco' Petrović" and minor changes such as "Mohammad Ali" to "Muhammad Ali"
The 'Description' text was automatically added when the Knowledge Graph score was greater than 250

TODO

create name list, and populate with Knowledge graph information like LFW
make list of interesting number stats, by the numbers
make list of interesting important facts
write intro abstract
write analysis of usage
find examples, citations, and screenshots of useage
find list of companies using it for table
create montages of the dataset, like LFW
create right to removal information

- -

- - - - - \ No newline at end of file diff --git a/site/public/index.html b/site/public/index.html index cb357e3f..62f78978 100644 --- a/site/public/index.html +++ b/site/public/index.html @@ -28,7 +28,7 @@

diff --git a/site/public/test/chart/index.html b/site/public/test/chart/index.html index fce4dbe7..fd3d690e 100644 --- a/site/public/test/chart/index.html +++ b/site/public/test/chart/index.html @@ -21,7 +21,6 @@

Datasets - Research About

diff --git a/site/public/test/citations/index.html b/site/public/test/citations/index.html index 7c21c3d6..3dafd81e 100644 --- a/site/public/test/citations/index.html +++ b/site/public/test/citations/index.html @@ -21,7 +21,6 @@

Datasets - Research About

diff --git a/site/public/test/csv/index.html b/site/public/test/csv/index.html index 3c45f57b..3257716f 100644 --- a/site/public/test/csv/index.html +++ b/site/public/test/csv/index.html @@ -21,7 +21,6 @@

Datasets - Research About

diff --git a/site/public/test/datasets/index.html b/site/public/test/datasets/index.html index 5290dce3..15edf039 100644 --- a/site/public/test/datasets/index.html +++ b/site/public/test/datasets/index.html @@ -21,7 +21,6 @@

Datasets - Research About

diff --git a/site/public/test/face_search/index.html b/site/public/test/face_search/index.html index c4f6af23..93dc2bc6 100644 --- a/site/public/test/face_search/index.html +++ b/site/public/test/face_search/index.html @@ -21,7 +21,6 @@

Datasets - Research About

diff --git a/site/public/test/gallery/index.html b/site/public/test/gallery/index.html index 6f0af1d0..9e2c54f6 100644 --- a/site/public/test/gallery/index.html +++ b/site/public/test/gallery/index.html @@ -21,7 +21,6 @@

Datasets - Research About

diff --git a/site/public/test/index.html b/site/public/test/index.html index 5931f360..8a4ec3fb 100644 --- a/site/public/test/index.html +++ b/site/public/test/index.html @@ -21,7 +21,6 @@

Datasets - Research About

diff --git a/site/public/test/map/index.html b/site/public/test/map/index.html index b7e58290..fd5a186d 100644 --- a/site/public/test/map/index.html +++ b/site/public/test/map/index.html @@ -21,7 +21,6 @@

Datasets - Research About

diff --git a/site/public/test/name_search/index.html b/site/public/test/name_search/index.html index dbb566fe..4e3ef428 100644 --- a/site/public/test/name_search/index.html +++ b/site/public/test/name_search/index.html @@ -21,7 +21,6 @@

Datasets - Research About

diff --git a/site/public/test/style/index.html b/site/public/test/style/index.html deleted file mode 100644 index 2a41b8b1..00000000 --- a/site/public/test/style/index.html +++ /dev/null @@ -1,90 +0,0 @@ - - - - MegaPixels - - - - - - - - - - - - -

- -

MegaPixels

- The Darkside of Datasets - -

- Datasets - Research - About -

- -

Style Examples

← Back to test index

Style Guide Test

Date

17-Jan-2019

Numbers

Identities

12,139

But also

This is a test of the stylesheet

Header 1

Header 2

Header 3

Header 4

Header 5

Header 6

Bold text, italic text, bold italic text

At vero eos et et iusto qui blanditiis praesentium voluptatum deleniti atque corrupti[^1], quos dolores et quas molestias excepturi sint, obcaecati cupiditate non-provident, similique sunt in culpa, qui officia deserunt mollitia animi, id est laborum et dolorum fuga. Et harum quidem rerum facilis est et expedita distinctio[^2]. Nam libero tempore, cum soluta nobis est eligendi optio, cumque nihil impedit, quo minus id, quod maxime placeat, facere possimus, omnis voluptas assumenda est, omnis dolor repellendus[^3].

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

single image test

This person is alone

double image test

This person is on the left

This person is on the right

triple image test

Person 1

Person 2

Person 3. Let me tell you about Person 3. This person has a very long description with text which wraps like crazy

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.
-

This image is extremely wide and the text beneath it will wrap but that's fine because it can also contain hyperlinks! Yes, you read that right—hyperlinks! Lorem ipsum dolor sit amet ad volotesque sic hoc ad nauseam

Inline code has back-ticks around it.

var s = "JavaScript syntax highlighting";
-alert(s);
-

s = "Python syntax highlighting"
-print(s)
-

tag."]}'>

Horizontal rule

Citations below here

- -

- - - - - \ No newline at end of file -- cgit v1.2.3-70-g09d2

Disclaimer

Partnership

Team

00: Introduction

From 1 to 100 Pixels

A breif description of this post, appears in the index page overview