From b70e6922d679b4181806fe9a390453b305e38349 Mon Sep 17 00:00:00 2001 From: adamhrv Date: Tue, 8 Oct 2019 10:15:36 +0200 Subject: add age, gender, pngs --- site/content/pages/about/index.md | 32 +----- site/content/pages/about/legal.md | 4 +- site/content/pages/datasets/adience/index.md | 1 - site/content/pages/datasets/brainwash/index.md | 14 ++- site/content/pages/datasets/duke_mtmc/index.md | 9 +- .../pages/datasets/helen/assets/_background.jpg | Bin 0 -> 554835 bytes site/content/pages/datasets/helen/assets/age.csv | 10 ++ site/content/pages/datasets/helen/assets/alpha.png | Bin 0 -> 7160 bytes .../pages/datasets/helen/assets/background.jpg | Bin 134927 -> 210197 bytes .../pages/datasets/helen/assets/feature_bride.jpg | Bin 0 -> 39064 bytes .../pages/datasets/helen/assets/feature_family.jpg | Bin 0 -> 74137 bytes .../datasets/helen/assets/feature_family_05.jpg | Bin 0 -> 74142 bytes .../datasets/helen/assets/feature_graduation.jpg | Bin 0 -> 46147 bytes .../pages/datasets/helen/assets/feature_groom.jpg | Bin 0 -> 41000 bytes .../datasets/helen/assets/feature_outdoor.jpg | Bin 0 -> 46663 bytes .../datasets/helen/assets/feature_outdoor_02.jpg | Bin 0 -> 56328 bytes .../datasets/helen/assets/feature_wedding.jpg | Bin 0 -> 48999 bytes .../datasets/helen/assets/feature_wedding_02.jpg | Bin 0 -> 43256 bytes .../content/pages/datasets/helen/assets/gender.csv | 4 + .../pages/datasets/helen/assets/ijb_c_montage.jpg | Bin 424821 -> 0 bytes site/content/pages/datasets/helen/assets/index.jpg | Bin 14856 -> 23135 bytes .../datasets/helen/assets/montage_20_2_2_40_15.png | Bin 0 -> 3259144 bytes .../helen/assets/montage_lms_21_14_14_14_22.png | Bin 0 -> 23058 bytes .../helen/assets/montage_lms_21_14_14_14_25.png | Bin 0 -> 22435 bytes .../helen/assets/montage_lms_21_14_14_14_26.png | Bin 0 -> 14164 bytes .../helen/assets/montage_lms_21_15_15_7_26_0.png | Bin 0 -> 45864 bytes .../content/pages/datasets/helen/assets/single.png | Bin 0 -> 9001 bytes .../helen/assets/single_21_15_15_7_43_19.png | Bin 0 -> 7160 bytes site/content/pages/datasets/helen/index.md | 120 +++++++++++++++++++-- .../pages/datasets/hrt_transgender/index.md | 24 ----- site/content/pages/datasets/ibm_dif/index.md | 16 +-- site/content/pages/datasets/index.md | 1 + site/content/pages/datasets/lfpw/index.md | 10 +- .../content/pages/datasets/megaface/assets/age.csv | 10 ++ .../pages/datasets/megaface/assets/gender.csv | 4 + site/content/pages/datasets/megaface/index.md | 27 ++++- site/content/pages/datasets/msceleb/assets/age.csv | 10 ++ .../pages/datasets/msceleb/assets/gender.csv | 4 + site/content/pages/datasets/msceleb/index.md | 52 ++++++++- .../pages/datasets/oxford_town_centre/index.md | 7 +- site/content/pages/datasets/pipa/assets/age.csv | 10 ++ site/content/pages/datasets/pipa/assets/gender.csv | 4 + site/content/pages/datasets/pipa/index.md | 2 +- site/content/pages/datasets/uccs/index.md | 9 +- .../pages/datasets/vgg_face/assets/background.jpg | Bin 134927 -> 0 bytes .../datasets/vgg_face/assets/ijb_c_montage.jpg | Bin 424821 -> 0 bytes .../pages/datasets/vgg_face/assets/index.jpg | Bin 14856 -> 0 bytes site/content/pages/datasets/vgg_face/index.md | 30 ------ .../content/pages/datasets/who_goes_there/index.md | 2 +- .../research/munich_security_conference/index.md | 1 + 50 files changed, 298 insertions(+), 119 deletions(-) create mode 100644 site/content/pages/datasets/helen/assets/_background.jpg create mode 100644 site/content/pages/datasets/helen/assets/age.csv create mode 100755 site/content/pages/datasets/helen/assets/alpha.png create mode 100755 site/content/pages/datasets/helen/assets/feature_bride.jpg create mode 100755 site/content/pages/datasets/helen/assets/feature_family.jpg create mode 100755 site/content/pages/datasets/helen/assets/feature_family_05.jpg create mode 100755 site/content/pages/datasets/helen/assets/feature_graduation.jpg create mode 100755 site/content/pages/datasets/helen/assets/feature_groom.jpg create mode 100755 site/content/pages/datasets/helen/assets/feature_outdoor.jpg create mode 100755 site/content/pages/datasets/helen/assets/feature_outdoor_02.jpg create mode 100755 site/content/pages/datasets/helen/assets/feature_wedding.jpg create mode 100755 site/content/pages/datasets/helen/assets/feature_wedding_02.jpg create mode 100644 site/content/pages/datasets/helen/assets/gender.csv delete mode 100755 site/content/pages/datasets/helen/assets/ijb_c_montage.jpg create mode 100755 site/content/pages/datasets/helen/assets/montage_20_2_2_40_15.png create mode 100755 site/content/pages/datasets/helen/assets/montage_lms_21_14_14_14_22.png create mode 100755 site/content/pages/datasets/helen/assets/montage_lms_21_14_14_14_25.png create mode 100755 site/content/pages/datasets/helen/assets/montage_lms_21_14_14_14_26.png create mode 100755 site/content/pages/datasets/helen/assets/montage_lms_21_15_15_7_26_0.png create mode 100755 site/content/pages/datasets/helen/assets/single.png create mode 100755 site/content/pages/datasets/helen/assets/single_21_15_15_7_43_19.png delete mode 100644 site/content/pages/datasets/hrt_transgender/index.md create mode 100644 site/content/pages/datasets/megaface/assets/age.csv create mode 100644 site/content/pages/datasets/megaface/assets/gender.csv create mode 100644 site/content/pages/datasets/msceleb/assets/age.csv create mode 100644 site/content/pages/datasets/msceleb/assets/gender.csv create mode 100644 site/content/pages/datasets/pipa/assets/age.csv create mode 100644 site/content/pages/datasets/pipa/assets/gender.csv delete mode 100755 site/content/pages/datasets/vgg_face/assets/background.jpg delete mode 100755 site/content/pages/datasets/vgg_face/assets/ijb_c_montage.jpg delete mode 100755 site/content/pages/datasets/vgg_face/assets/index.jpg delete mode 100644 site/content/pages/datasets/vgg_face/index.md (limited to 'site/content/pages') diff --git a/site/content/pages/about/index.md b/site/content/pages/about/index.md index d4172e81..90072b37 100644 --- a/site/content/pages/about/index.md +++ b/site/content/pages/about/index.md @@ -22,27 +22,10 @@ authors: Adam Harvey -MegaPixels is an independent art and research project by Adam Harvey and Jules LaPlace that investigates the ethics, origins, and individual privacy implications of face recognition image datasets and their role in the expansion of biometric surveillance technologies. +MegaPixels is an independent art and research project by [Adam Harvey](https://ahprojects.com) and [Jules LaPlace](https://asdf.us) that investigates the ethics, origins, and individual privacy implications of face recognition image datasets and their role in the expansion of biometric surveillance technologies. MegaPixels is made possible with support from Mozilla - -
-
-

Adam Harvey

-

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

-

ahprojects.com

-

-
-
-

Jules LaPlace

-

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

-

asdf.us

-
-
- - MegaPixels is an art and research project first launched in 2017 for an [installation](https://ahprojects.com/megapixels-glassroom/) at Tactical Technology Collective's [GlassRoom](https://tacticaltech.org/pages/glass-room-london-press/) about face recognition datasets. In 2018 MegaPixels was extended to cover pedestrian analysis datasets for a [commission by Elevate Arts festival](https://esc.mur.at/de/node/2370) in Austria. Since then MegaPixels has evolved into a large-scale interrogation of hundreds of publicly-available face and person analysis datasets, the first of which launched on this site in April 2019. MegaPixels aims to provide a critical perspective on machine learning image datasets, one that might otherwise escape academia and industry funded artificial intelligence think tanks that are often supported by the same technology companies who created many of the datasets presented on this site. @@ -51,6 +34,8 @@ MegaPixels is an independent project, designed as a public resource for educator A dataset of verified geocoded citations and dataset statistics will be published in Fall 2019 along with a research paper as part of a research fellowship for [KIM (Critical Artificial Intelligence) Karlsruhe HfG](http://kim.hfg-karlsruhe.de/). + + ### Selected News and Exhibitions - July 2019: New York Times writes about MegaPixels and how "[Facial Recognition Tech Is Growing Stronger, Thanks to Your Face](https://www.nytimes.com/2019/07/13/technology/databases-faces-facial-recognition-technology.html)" @@ -60,23 +45,18 @@ A dataset of verified geocoded citations and dataset statistics will be publishe Read more [news](/about/news) -=== columns 3 ##### Team - Adam Harvey: Concept, research and analysis, design, computer vision - Jules LaPlace: Information and systems architecture, data management, web applications -=========== - ##### Contributing Researchers - Beth (aka Ms. Celeb) - Berit Gilma - Mathana Stender -=========== - ##### Code and Libraries - [Semantic Scholar](https://semanticscholar.org) for citation aggregation @@ -85,7 +65,6 @@ Read more [news](/about/news) - ThreeJS for 3D visualizations - PDFMiner.Six and Pandas for research paper analysis -=== end columns ##### Attribution @@ -100,8 +79,3 @@ If you use MegaPixels or any data derived from it for your work, please cite our urldate = {2019-04-18} } - - -##### Contact - -Please direct questions, comments, or feedback to [mastodon.social/@adamhrv](https://mastodon.social/@adamhrv) or contact via [https://ahprojects.com/about](https://ahprojects.com/about) \ No newline at end of file diff --git a/site/content/pages/about/legal.md b/site/content/pages/about/legal.md index 08538e9d..cde0f0c9 100644 --- a/site/content/pages/about/legal.md +++ b/site/content/pages/about/legal.md @@ -27,11 +27,11 @@ MegaPixels.cc Terms and Privacy MegaPixels is an independent and academic art and research project about the origins and ethics of publicly available face analysis image datasets. By accessing MegaPixels (the *Service* or *Services*) you agree to the terms and conditions set forth below. -## Privacy +### Privacy The MegaPixels site has been designed to minimize the amount of network requests to 3rd party services and therefore prioritize the privacy of the viewer. This site does not use any local or external analytics programs to monitor site viewers. In fact, the only data collected are the necessary server logs used only for preventing misuse, which are deleted at short-term intervals. -## 3rd Party Services +### 3rd Party Services In order to provide certain features of the site, some 3rd party services are needed. Currently, the MegaPixels.cc site uses two 3rd party services: (1) Leaflet.js for the interactive map and (2) Digital Ocean Spaces as a content delivery network. Both services encrypt your requests to their server using HTTPS and neither service requires storing any cookies or authentication. However, both services will store files in your web browser's local cache (local storage) to improve loading performance. None of these local storage files are using for analytics, tracking, or any similar purpose. diff --git a/site/content/pages/datasets/adience/index.md b/site/content/pages/datasets/adience/index.md index 12cf539a..675de813 100644 --- a/site/content/pages/datasets/adience/index.md +++ b/site/content/pages/datasets/adience/index.md @@ -7,7 +7,6 @@ subdesc: Adience ... slug: adience cssclass: dataset image: assets/background.jpg -year: 2016 published: 2019-4-18 updated: 2019-4-18 authors: Adam Harvey diff --git a/site/content/pages/datasets/brainwash/index.md b/site/content/pages/datasets/brainwash/index.md index 2a5346b5..6d2279cb 100644 --- a/site/content/pages/datasets/brainwash/index.md +++ b/site/content/pages/datasets/brainwash/index.md @@ -4,6 +4,7 @@ status: published title: Brainwash Dataset desc: Brainwash is a dataset of webcam images taken from the Brainwash Cafe in San Francisco subdesc: It includes 11,917 images of "everyday life of a busy downtown cafe" and is used for training face and head detection algorithms +caption: One of 11,917 images from the Brainwash dataset captured from the Brainwash Cafe in San Francisco slug: brainwash cssclass: dataset image: assets/background.jpg @@ -14,9 +15,14 @@ authors: Adam Harvey ------------ -## Brainwash Dataset +# Brainwash Dataset + +*Update: In response to the publication of this report, the Brainwash dataset has been "removed from access at the request of the depositor."* ### sidebar + ++ Press coverage: New York Times, De Tijd + ### end sidebar Brainwash is a dataset of livecam images taken from San Francisco's Brainwash Cafe. It includes 11,917 images of "everyday life of a busy downtown cafe"[^readme] captured at 100 second intervals throughout the day. The Brainwash dataset includes 3 full days of webcam images taken on October 27, November 13, and November 24 in 2014. According the author's [research paper](https://www.semanticscholar.org/paper/End-to-End-People-Detection-in-Crowded-Scenes-Stewart-Andriluka/1bd1645a629f1b612960ab9bba276afd4cf7c666) introducing the dataset, the images were acquired with the help of Angelcam.com. [^end_to_end] @@ -45,6 +51,12 @@ The two papers associated with the National University of Defense Technology in ![caption: Nine of 11,917 images from the the Brainwash dataset. Graphic: megapixels.cc based on Brainwash dataset by Russel et. al. License: Open Data Commons Public Domain Dedication (PDDL)](assets/brainwash_grid.jpg) +### Press Coverage + +- New York Times: [Facial Recognition Tech Is Growing Stronger, Thanks to Your Face](https://www.nytimes.com/2019/07/13/technology/) +- De Tijd: [Brainwash](https://www.tijd.be/dossier/legrandinconnu/brainwash/10136670.html) + + {% include 'cite_our_work.html' %} #### Citing Brainwash Dataset diff --git a/site/content/pages/datasets/duke_mtmc/index.md b/site/content/pages/datasets/duke_mtmc/index.md index b5c6bf1a..cba08a3c 100644 --- a/site/content/pages/datasets/duke_mtmc/index.md +++ b/site/content/pages/datasets/duke_mtmc/index.md @@ -6,6 +6,7 @@ desc: Duke MTMC is a dataset of surveillance c subdesc: Duke MTMC contains over 2 million video frames and 2,700 unique identities collected from 8 HD cameras at Duke University campus in March 2014 slug: duke_mtmc cssclass: dataset +caption: A still frame from the Duke MTMC (Multi-Target-Multi-Camera) CCTV dataset captured on Duke University campus in 2014. The dataset has now been terminated by the author in response to this report. image: assets/background.jpg published: 2019-4-18 updated: 2019-05-22 @@ -13,12 +14,16 @@ authors: Adam Harvey ------------ -## Duke MTMC +# Duke MTMC + +*Update: In response to this report and an [investigation](https://www.ft.com/content/cf19b956-60a2-11e9-b285-3acd5d43599e) by the Financial Times, Duke University has terminated the Duke MTMC dataset.* ### sidebar ### end sidebar -Duke MTMC (Multi-Target, Multi-Camera) is a dataset of surveillance video footage taken on Duke University's campus in 2014 and is used for research and development of video tracking systems, person re-identification, and low-resolution facial recognition. The dataset contains over 14 hours of synchronized surveillance video from 8 cameras at 1080p and 60 FPS, with over 2 million frames of 2,000 students walking to and from classes. The 8 surveillance cameras deployed on campus were specifically setup to capture students "during periods between lectures, when pedestrian traffic is heavy".[^duke_mtmc_orig] +Duke MTMC (Multi-Target, Multi-Camera) is a dataset of surveillance video footage taken on Duke University's campus in 2014 and is used for research and development of video tracking systems, person re-identification, and low-resolution facial recognition. + +The dataset contains over 14 hours of synchronized surveillance video from 8 cameras at 1080p and 60 FPS, with over 2 million frames of 2,000 students walking to and from classes. The 8 surveillance cameras deployed on campus were specifically setup to capture students "during periods between lectures, when pedestrian traffic is heavy".[^duke_mtmc_orig] For this analysis of the Duke MTMC dataset over 100 publicly available research papers that used the dataset were analyzed to find out who's using the dataset and where it's being used. The results show that the Duke MTMC dataset has spread far beyond its origins and intentions in academic research projects at Duke University. Since its publication in 2016, more than twice as many research citations originated in China as in the United States. Among these citations were papers links to the Chinese military and several of the companies known to provide Chinese authorities with the oppressive surveillance technology used to monitor millions of Uighur Muslims. diff --git a/site/content/pages/datasets/helen/assets/_background.jpg b/site/content/pages/datasets/helen/assets/_background.jpg new file mode 100644 index 00000000..5968da24 Binary files /dev/null and b/site/content/pages/datasets/helen/assets/_background.jpg differ diff --git a/site/content/pages/datasets/helen/assets/age.csv b/site/content/pages/datasets/helen/assets/age.csv new file mode 100644 index 00000000..17121aac --- /dev/null +++ b/site/content/pages/datasets/helen/assets/age.csv @@ -0,0 +1,10 @@ +age,faces +0 - 12,31 +13 - 18,367 +19 - 24,567 +25 - 34,634 +35 - 44,362 +45 - 54,113 +55 - 64,56 +64 - 75,34 +75 - 100,10 diff --git a/site/content/pages/datasets/helen/assets/alpha.png b/site/content/pages/datasets/helen/assets/alpha.png new file mode 100755 index 00000000..eb1defd0 Binary files /dev/null and b/site/content/pages/datasets/helen/assets/alpha.png differ diff --git a/site/content/pages/datasets/helen/assets/background.jpg b/site/content/pages/datasets/helen/assets/background.jpg index 6958a2b2..0288163e 100755 Binary files a/site/content/pages/datasets/helen/assets/background.jpg and b/site/content/pages/datasets/helen/assets/background.jpg differ diff --git a/site/content/pages/datasets/helen/assets/feature_bride.jpg b/site/content/pages/datasets/helen/assets/feature_bride.jpg new file mode 100755 index 00000000..5430f50b Binary files /dev/null and b/site/content/pages/datasets/helen/assets/feature_bride.jpg differ diff --git a/site/content/pages/datasets/helen/assets/feature_family.jpg b/site/content/pages/datasets/helen/assets/feature_family.jpg new file mode 100755 index 00000000..a3fb833d Binary files /dev/null and b/site/content/pages/datasets/helen/assets/feature_family.jpg differ diff --git a/site/content/pages/datasets/helen/assets/feature_family_05.jpg b/site/content/pages/datasets/helen/assets/feature_family_05.jpg new file mode 100755 index 00000000..57fb35bc Binary files /dev/null and b/site/content/pages/datasets/helen/assets/feature_family_05.jpg differ diff --git a/site/content/pages/datasets/helen/assets/feature_graduation.jpg b/site/content/pages/datasets/helen/assets/feature_graduation.jpg new file mode 100755 index 00000000..f9f7d132 Binary files /dev/null and b/site/content/pages/datasets/helen/assets/feature_graduation.jpg differ diff --git a/site/content/pages/datasets/helen/assets/feature_groom.jpg b/site/content/pages/datasets/helen/assets/feature_groom.jpg new file mode 100755 index 00000000..31791987 Binary files /dev/null and b/site/content/pages/datasets/helen/assets/feature_groom.jpg differ diff --git a/site/content/pages/datasets/helen/assets/feature_outdoor.jpg b/site/content/pages/datasets/helen/assets/feature_outdoor.jpg new file mode 100755 index 00000000..375f5ae5 Binary files /dev/null and b/site/content/pages/datasets/helen/assets/feature_outdoor.jpg differ diff --git a/site/content/pages/datasets/helen/assets/feature_outdoor_02.jpg b/site/content/pages/datasets/helen/assets/feature_outdoor_02.jpg new file mode 100755 index 00000000..4a02876d Binary files /dev/null and b/site/content/pages/datasets/helen/assets/feature_outdoor_02.jpg differ diff --git a/site/content/pages/datasets/helen/assets/feature_wedding.jpg b/site/content/pages/datasets/helen/assets/feature_wedding.jpg new file mode 100755 index 00000000..deed7061 Binary files /dev/null and b/site/content/pages/datasets/helen/assets/feature_wedding.jpg differ diff --git a/site/content/pages/datasets/helen/assets/feature_wedding_02.jpg b/site/content/pages/datasets/helen/assets/feature_wedding_02.jpg new file mode 100755 index 00000000..27489f7b Binary files /dev/null and b/site/content/pages/datasets/helen/assets/feature_wedding_02.jpg differ diff --git a/site/content/pages/datasets/helen/assets/gender.csv b/site/content/pages/datasets/helen/assets/gender.csv new file mode 100644 index 00000000..e51919bc --- /dev/null +++ b/site/content/pages/datasets/helen/assets/gender.csv @@ -0,0 +1,4 @@ +gender,faces +Male,1118 +Female,1184 +They,186 diff --git a/site/content/pages/datasets/helen/assets/ijb_c_montage.jpg b/site/content/pages/datasets/helen/assets/ijb_c_montage.jpg deleted file mode 100755 index 3b5a0e40..00000000 Binary files a/site/content/pages/datasets/helen/assets/ijb_c_montage.jpg and /dev/null differ diff --git a/site/content/pages/datasets/helen/assets/index.jpg b/site/content/pages/datasets/helen/assets/index.jpg index 7268d6ad..b9ce489d 100755 Binary files a/site/content/pages/datasets/helen/assets/index.jpg and b/site/content/pages/datasets/helen/assets/index.jpg differ diff --git a/site/content/pages/datasets/helen/assets/montage_20_2_2_40_15.png b/site/content/pages/datasets/helen/assets/montage_20_2_2_40_15.png new file mode 100755 index 00000000..86720be7 Binary files /dev/null and b/site/content/pages/datasets/helen/assets/montage_20_2_2_40_15.png differ diff --git a/site/content/pages/datasets/helen/assets/montage_lms_21_14_14_14_22.png b/site/content/pages/datasets/helen/assets/montage_lms_21_14_14_14_22.png new file mode 100755 index 00000000..3362f6bf Binary files /dev/null and b/site/content/pages/datasets/helen/assets/montage_lms_21_14_14_14_22.png differ diff --git a/site/content/pages/datasets/helen/assets/montage_lms_21_14_14_14_25.png b/site/content/pages/datasets/helen/assets/montage_lms_21_14_14_14_25.png new file mode 100755 index 00000000..450235d5 Binary files /dev/null and b/site/content/pages/datasets/helen/assets/montage_lms_21_14_14_14_25.png differ diff --git a/site/content/pages/datasets/helen/assets/montage_lms_21_14_14_14_26.png b/site/content/pages/datasets/helen/assets/montage_lms_21_14_14_14_26.png new file mode 100755 index 00000000..490d44bb Binary files /dev/null and b/site/content/pages/datasets/helen/assets/montage_lms_21_14_14_14_26.png differ diff --git a/site/content/pages/datasets/helen/assets/montage_lms_21_15_15_7_26_0.png b/site/content/pages/datasets/helen/assets/montage_lms_21_15_15_7_26_0.png new file mode 100755 index 00000000..6f1c85c5 Binary files /dev/null and b/site/content/pages/datasets/helen/assets/montage_lms_21_15_15_7_26_0.png differ diff --git a/site/content/pages/datasets/helen/assets/single.png b/site/content/pages/datasets/helen/assets/single.png new file mode 100755 index 00000000..5f7d23b0 Binary files /dev/null and b/site/content/pages/datasets/helen/assets/single.png differ diff --git a/site/content/pages/datasets/helen/assets/single_21_15_15_7_43_19.png b/site/content/pages/datasets/helen/assets/single_21_15_15_7_43_19.png new file mode 100755 index 00000000..eb1defd0 Binary files /dev/null and b/site/content/pages/datasets/helen/assets/single_21_15_15_7_43_19.png differ diff --git a/site/content/pages/datasets/helen/index.md b/site/content/pages/datasets/helen/index.md index d44c9b98..da1dc33b 100644 --- a/site/content/pages/datasets/helen/index.md +++ b/site/content/pages/datasets/helen/index.md @@ -1,30 +1,134 @@ ------------ -status: draft +status: published title: HELEN -desc: HELEN Face Dataset -subdesc: HELEN (under development) +desc: HELEN is a dataset of face images from Flickr used for training facial component localization algorithms +subdesc: HELEN includes 2,330 images from Flickr found by keyword searches for "portrait", "wedding", "outdoor", "boy", "studio", and "family" +caption: Selected images from the HELEN dataset slug: helen cssclass: dataset +caption: Example images from the HELEN dataset image: assets/background.jpg -year: 2000 -published: 2019-4-18 -updated: 2019-4-18 +published: 2019-9-23 +updated: 2019-9-23 authors: Adam Harvey ------------ -## HELEN + +# HELEN Dataset ### sidebar ### end sidebar -[ page under development ] +Helen is a dataset of annotated face images used for facial component localization. It includes 2,330 images from Flickr found by searching for "portrait" combined with terms such as "family", "wedding", "boy", "outdoor", and "studio".[^orig_paper] + +The dataset was published in 2012 with the primary motivation listed as facilitating "high quality editing of portraits". However, the paper's introduction also mentions that facial feature localization "is an essential component for face recognition, tracking and expression analysis."[^orig_paper] + +Irregardless of the authors' primary motivations, the HELEN dataset has become one of the most widely used datasets for training facial landmark algorithms, which are essential parts of most facial recogntion processing systems. Facial landmarking are used to isolate facial features such as the eyes, nose, jawline, and mouth in order to align faces to match a templated pose. + +![caption: An example annotation from the HELEN dataset showing 194 points that were originally annotated by Mechanical Turk workers. Graphic © 2019 MegaPixels.cc based on data from HELEN dataset by Le, Vuong et al.](assets/montage_lms_21_14_14_14_26.png) + +This analysis shows that since its initial publication in 2012, the HELEN dataset has been used in over 200 research projects related to facial recognition with the vast majority of research taking place in China. + +Commercial use includes IBM, NVIDIA, NEC, Microsoft Research Asia, Google, Megvii, Microsoft, Intel, Daimler, Tencent, Baidu, Adobe, Facebook + +Military and Defense Usage includes NUDT + +http://eccv2012.unifi.it/ + +TODO + +- add proof of use in dlib and openface +- add proof of use in commercial use of dlib? ibm dif +- make landmark over blurred images +- add 6x6 gride for landmarks +- highlight key findings +- highlight key commercial usage +- look for most interesting research papers to provide example of how it's used for face recognition +- estimated time: 6 hours +- add data to github repo? + +| Organization | Paper | Link | Year | Used Duke MTMC | +|---|---|---|---| +| SenseTime, Amazon | [Look at Boundary: A Boundary-Aware Face Alignment Algorithm](https://arxiv.org/pdf/1805.10483.pdf) + | 2018 | year | ✔ | +| SenseTime | [ReenactGAN: Learning to Reenact Faces via Boundary Transfer](https://arxiv.org/pdf/1807.11079.pdf) | 2018 | year | ✔ | + + +The dataset was used for training the OpenFace software "we used the HELEN and LFPW training subsets for training and the rest for testing" https://github.com/TadasBaltrusaitis/OpenFace/wiki/Datasets + +The popular dlib facial landmark detector was trained using HELEN + +In addition to the 200+ verified citations, the HELEN dataset was used for +- https://github.com/memoiry/face-alignment +- http://www.dsp.toronto.edu/projects/face_analysis/ + +It's been converted into new datasets including +- https://github.com/JPlin/Relabeled-HELEN-Dataset +- https://www.kaggle.com/kmader/helen-eye-dataset + +The original site +- http://www.ifp.illinois.edu/~vuongle2/helen/ + +### Example Images + + + +![caption: An image from the HELEN dataset "wedding" category used for training face recognition 2839127417_1.jpg for outdoor studio](assets/feature_outdoor_02.jpg) +![caption: An image from the HELEN dataset "wedding" category used for training face recognition 2325274893_1 ](assets/feature_graduation.jpg) + +![caption: An image from the HELEN dataset "wedding" category used for training face recognition 2325274893_1 ](assets/feature_wedding.jpg) +![caption: An image from the HELEN dataset "wedding" category used for training face recognition 2325274893_1 ](assets/feature_wedding_02.jpg) + +![caption: Original Flickr image used in HELEN facial analysis and recognition dataset for the keyword "family". 296814969](assets/feature_family.jpg) +![caption: Original Flickr image used in HELEN facial analysis and recognition dataset for the keyword "family". 296814969](assets/feature_family_05.jpg) + {% include 'dashboard.html' %} {% include 'supplementary_header.html' %} +### Age and Gender Distribution + +{% include 'age_gender_disclaimer.html' %} + +=== columns 2 + +``` +single_pie_chart /datasets/helen/assets/age.csv +Caption: HELEN dataset age distribution +Top: 10 +OtherLabel: Other +``` + +``` +single_pie_chart /datasets/helen/assets/gender.csv +Caption: HELEN dataset gender distribution +Top: 10 +OtherLabel: Other +``` + +=== end columns + +![caption: Visualization of the HELEN dataset 194-point facial landmark annotations. Credit: graphic © MegaPixels.cc 2019, data from HELEN dataset by Zhou, Brand, Lin 2013. If you use this image please credit both the graphic and data source.](assets/montage_lms_21_15_15_7_26_0.png) + {% include 'cite_our_work.html' %} + +#### Cite the Original Author's Work + +If you find the HELEN dataset useful or reference it in your work, please cite the author's original work as: + +
+@inproceedings{Le2012InteractiveFF,
+  title={Interactive Facial Feature Localization},
+  author={Vuong Le and Jonathan Brandt and Zhe L. Lin and Lubomir D. Bourdev and Thomas S. Huang},
+  booktitle={ECCV},
+  year={2012}
+}
+
+ ### Footnotes + +[^orig_paper]: Le, Vuong et al. “Interactive Facial Feature Localization.” ECCV (2012). \ No newline at end of file diff --git a/site/content/pages/datasets/hrt_transgender/index.md b/site/content/pages/datasets/hrt_transgender/index.md deleted file mode 100644 index fb820593..00000000 --- a/site/content/pages/datasets/hrt_transgender/index.md +++ /dev/null @@ -1,24 +0,0 @@ ------------- - -status: draft -title: HRT Transgender Dataset -desc: TBD -subdesc: TBD -slug: hrt_transgender -cssclass: dataset -image: assets/background.jpg -year: 2015 -published: 2019-2-23 -updated: 2019-2-23 -authors: Adam Harvey - ------------- - -## HRT Transgender Dataset - -### sidebar -### end sidebar - -[ page under development ] - -{% include 'dashboard.html' } \ No newline at end of file diff --git a/site/content/pages/datasets/ibm_dif/index.md b/site/content/pages/datasets/ibm_dif/index.md index 4c620e95..c5f25e1d 100644 --- a/site/content/pages/datasets/ibm_dif/index.md +++ b/site/content/pages/datasets/ibm_dif/index.md @@ -1,20 +1,20 @@ ------------ status: draft -title: MegaFace -desc: MegaFace Dataset -subdesc: MegaFace contains 670K identities and 4.7M images -slug: megaface +title: IBM DiF +desc: Diversity in Faces Dataset +subdesc: Loren Ispum... +slug: ibm_dif cssclass: dataset image: assets/background.jpg -year: 2016 -published: 2019-4-18 -updated: 2019-4-18 +year: 2019 +published: 2019-9-18 +updated: 2019-9-18 authors: Adam Harvey ------------ -## MegaFace +## IBM Diversity in Faces ### sidebar ### end sidebar diff --git a/site/content/pages/datasets/index.md b/site/content/pages/datasets/index.md index f56a3291..54912242 100644 --- a/site/content/pages/datasets/index.md +++ b/site/content/pages/datasets/index.md @@ -4,6 +4,7 @@ status: published title: MegaPixels: Face Recognition Datasets desc: Facial Recognition Datasets slug: home +cssclass: dataset-list published: 2018-12-15 updated: 2019-04-24 authors: Adam Harvey diff --git a/site/content/pages/datasets/lfpw/index.md b/site/content/pages/datasets/lfpw/index.md index 1021d490..21f885d4 100644 --- a/site/content/pages/datasets/lfpw/index.md +++ b/site/content/pages/datasets/lfpw/index.md @@ -19,7 +19,15 @@ authors: Adam Harvey ### sidebar ### end sidebar -[ page under development ] +RESEARCH below this line + +> Release 1 of LFPW consists of 1,432 faces from images downloaded from the web using simple text queries on sites such as google.com, flickr.com, and yahoo.com. Each image was labeled by three MTurk workers, and 29 fiducial points, shown below, are included in dataset. LFPW was originally described in the following publication: + +> Due to copyright issues, we cannot distribute image files in any format to anyone. Instead, we have made available a list of image URLs where you can download the images yourself. We realize that this makes it impossible to exactly compare numbers, as image links will slowly disappear over time, but we have no other option. This seems to be the way other large web-based databases seem to be evolving. + + + +> This research was performed at Kriegman-Belhumeur Vision Technologies and was funded by the CIA through the Office of the Chief Scientist. (nk_cvpr2011\_faceparts.pdf) {% include 'dashboard.html' %} diff --git a/site/content/pages/datasets/megaface/assets/age.csv b/site/content/pages/datasets/megaface/assets/age.csv new file mode 100644 index 00000000..52a86599 --- /dev/null +++ b/site/content/pages/datasets/megaface/assets/age.csv @@ -0,0 +1,10 @@ +age,faces +0 - 12,785 +13 - 18,52026 +19 - 24,254411 +25 - 34,452129 +35 - 44,341809 +45 - 54,193525 +55 - 64,65635 +64 - 75,22148 +75 - 100,3108 diff --git a/site/content/pages/datasets/megaface/assets/gender.csv b/site/content/pages/datasets/megaface/assets/gender.csv new file mode 100644 index 00000000..a23e6548 --- /dev/null +++ b/site/content/pages/datasets/megaface/assets/gender.csv @@ -0,0 +1,4 @@ +gender,faces +male,884043 +female,580747 +they,94990 diff --git a/site/content/pages/datasets/megaface/index.md b/site/content/pages/datasets/megaface/index.md index 4c620e95..2009e70e 100644 --- a/site/content/pages/datasets/megaface/index.md +++ b/site/content/pages/datasets/megaface/index.md @@ -1,9 +1,10 @@ ------------ -status: draft +status: published title: MegaFace desc: MegaFace Dataset subdesc: MegaFace contains 670K identities and 4.7M images +caption: Example images from the MegaFace dataset slug: megaface cssclass: dataset image: assets/background.jpg @@ -19,12 +20,34 @@ authors: Adam Harvey ### sidebar ### end sidebar -[ page under development ] +MegaFace is a dataset... {% include 'dashboard.html' %} {% include 'supplementary_header.html' %} +### Age and Gender Distribution + +=== columns 2 + +``` +single_pie_chart /datasets/megaface/assets/age.csv +Caption: MegaFace dataset age distribution +Top: 10 +OtherLabel: Other +``` + +``` +single_pie_chart /datasets/megaface/assets/gender.csv +Caption: MegaFace dataset gender distribution +Top: 10 +OtherLabel: Other +``` + +=== end columns + +{% include 'age_gender_disclaimer.html' %} + {% include 'cite_our_work.html' %} ### Footnotes diff --git a/site/content/pages/datasets/msceleb/assets/age.csv b/site/content/pages/datasets/msceleb/assets/age.csv new file mode 100644 index 00000000..ce9238f8 --- /dev/null +++ b/site/content/pages/datasets/msceleb/assets/age.csv @@ -0,0 +1,10 @@ +age,faces +0 - 12,51 +13 - 18,3769 +19 - 24,25147 +25 - 34,58352 +35 - 44,57071 +45 - 54,35828 +55 - 64,15335 +64 - 75,6858 +75 - 100,1173 diff --git a/site/content/pages/datasets/msceleb/assets/gender.csv b/site/content/pages/datasets/msceleb/assets/gender.csv new file mode 100644 index 00000000..ffa644ec --- /dev/null +++ b/site/content/pages/datasets/msceleb/assets/gender.csv @@ -0,0 +1,4 @@ +gender,faces +Male,150310 +Female,67319 +They,9068 diff --git a/site/content/pages/datasets/msceleb/index.md b/site/content/pages/datasets/msceleb/index.md index 0e457cd9..64584b31 100644 --- a/site/content/pages/datasets/msceleb/index.md +++ b/site/content/pages/datasets/msceleb/index.md @@ -4,6 +4,7 @@ status: published title: Microsoft Celeb Dataset desc: MS Celeb is a dataset of 10 million face images harvested from the Internet subdesc: The MS Celeb dataset includes 10 million images of 100,000 people and an additional target list of 1,000,000 individuals +caption: Example images forom the MS-Celeb-1M dataset slug: msceleb cssclass: dataset image: assets/background.jpg @@ -14,12 +15,21 @@ authors: Adam Harvey ------------ -## Microsoft Celeb Dataset (MS Celeb) + +# Microsoft Celeb Dataset (MS Celeb) + +*Update: In response to this report and an [investigation](https://www.ft.com/content/cf19b956-60a2-11e9-b285-3acd5d43599e) by the Financial Times, Microsoft has terminated their MS-Celeb website .* ### sidebar + ++ Press coverage: Financial Times, New York Times, BBC, Spiegel, Les Echos, La Stampa + ### end sidebar -Microsoft Celeb (MS-Celeb-1M) is a dataset of 10 million face images harvested from the Internet for the purpose of developing face recognition technologies. According to Microsoft Research, who created and published the [dataset](https://www.microsoft.com/en-us/research/publication/ms-celeb-1m-dataset-benchmark-large-scale-face-recognition-2/) in 2016, MS Celeb is the largest publicly available face recognition dataset in the world, containing over 10 million images of nearly 100,000 individuals. Microsoft's goal in building this dataset was to distribute an initial training dataset of 100,000 individuals' biometric data to accelerate research into recognizing a larger target list of one million people "using all the possibly collected face images of this individual on the web as training data".[^msceleb_orig] +Microsoft Celeb (MS-Celeb-1M) is a dataset of 10 million face images harvested from the Internet for the purpose of developing face recognition technologies. + +According to Microsoft Research, who created and published the [dataset](https://www.microsoft.com/en-us/research/publication/ms-celeb-1m-dataset-benchmark-large-scale-face-recognition-2/) in 2016, MS Celeb is the largest publicly available face recognition dataset in the world, containing over 10 million images of nearly 100,000 individuals. Microsoft's goal in building this dataset was to distribute an initial training dataset of 100,000 individuals' biometric data to accelerate research into recognizing a larger target list of one million people "using all the possibly collected face images of this individual on the web as training data".[^msceleb_orig] + While the majority of people in this dataset are American and British actors, the exploitative use of the term "celebrity" extends far beyond Hollywood. Many of the names in the MS Celeb face recognition dataset are merely people who must maintain an online presence for their professional lives: journalists, artists, musicians, activists, policy makers, writers, and academics. Many people in the target list are even vocal critics of the very technology Microsoft is using their name and biometric information to build. It includes digital rights activists like Jillian York; artists critical of surveillance including Trevor Paglen, Jill Magid, and Aram Bartholl; Intercept founders Laura Poitras, Jeremy Scahill, and Glenn Greenwald; Data and Society founder danah boyd; Shoshana Zuboff, author of *Surveillance Capitalism*; and even Julie Brill, the former FTC commissioner responsible for protecting consumer privacy. @@ -115,15 +125,47 @@ Considering the multiple citations from commercial organizations (Canon, Hitachi To provide insight into where these 10 million faces images have traveled, over 100 research papers have been verified and geolocated to show who used the dataset and where they used it. +## GDPR and MS-Celeb + +[ in progress ] + {% include 'dashboard.html' %} {% include 'supplementary_header.html' %} +### Age and Gender Distribution + +=== columns 2 + +``` +single_pie_chart /datasets/msceleb/assets/age.csv +Caption: MS-Celeb dataset age distribution +Top: 10 +OtherLabel: Other +``` + +``` +single_pie_chart /datasets/helen/assets/gender.csv +Caption: MS-Celeb dataset gender distribution +Top: 10 +OtherLabel: Other +``` + +=== end columns + ##### FAQs and Fact Check -- **The MS Celeb images were not derived from Creative Commons sources**. They were obtained by "retriev[ing] approximately 100 images per celebrity from popular search engines"[^msceleb_orig]. The dataset actually includes many copyrighted images. Microsoft doesn't provide any image URLs, but manually reviewing a small portion of images from the dataset shows many images with watermarked "Copyright" text over the image. TinEye could be used to more accurately determine the image origins in aggregate -- **Microsoft did not distribute images of all one million people.** They distributed images for about 100,000 and then encouraged other researchers to download the remaining 900,000 people "by using all the possibly collected face images of this individual on the web as training data."[^msceleb_orig] -- **Microsoft had not deleted or stopped distribution of their MS Celeb at the time of most press reports on June 4.** Until at least June 6, 2019 the Microsoft Research data portal provided the MS Celeb dataset for download: +- **Despite several erroneous reports mentioning the MS-Celeb images were derived from Creative Commons licensed media, the MS Celeb images were obtained from web search engines**. The authors mention "they were obtained by "retriev[ing] approximately 100 images per celebrity from popular search engines"[^msceleb_orig]. Many, if not the vast majority, are copyrighted images. Microsoft doesn't provide image URLs, but manually reviewing a small portion of images from the dataset shows images with watermarked "Copyright" text over the image and sources including stock photo agencies such as Getty. TinEye could be used to more accurately determine the image origins in aggregate. +- **Most reports incorrectly reported that Microsoft distributed images of all one million people. As this analysis mentions several times, Microsoft distributed images for 100,000 people and a separate target list of 900,000 more names.** Other researchers where then expected and encouraged to download the remaining 900,000 people "by using all the possibly collected face images of this individual on the web as training data."[^msceleb_orig] +- **Microsoft claimed that they had deleted or stopped distribution of their MS Celeb dataset in April 2019 after the Financial Times investigation. This false.** Until at least June 6, 2019 the Microsoft Research data portal freely provided the full MS Celeb dataset download: + +### Press Coverage + +- Financial Times (original story): [Who’s using your face? The ugly truth about facial recognition](https://www.ft.com/content/cf19b956-60a2-11e9-b285-3acd5d43599e) +- New York Times (front page story): [Facial Recognition Tech Is Growing Stronger, Thanks to Your Face](https://www.nytimes.com/2019/07/13/technology/databases-faces-facial-recognition-technology.html) +- BBC: [Microsoft deletes massive face recognition database](https://www.bbc.com/news/technology-48555149) +- Spiegel: [Microsoft löscht Datenbank mit zehn Millionen Fotos](https://www.spiegel.de/netzwelt/web/microsoft-gesichtserkennung-datenbank-mit-zehn-millionen-fotos-geloescht-a-1271221.html) + ### Footnotes diff --git a/site/content/pages/datasets/oxford_town_centre/index.md b/site/content/pages/datasets/oxford_town_centre/index.md index c2e3e7a7..eb1e360b 100644 --- a/site/content/pages/datasets/oxford_town_centre/index.md +++ b/site/content/pages/datasets/oxford_town_centre/index.md @@ -4,6 +4,7 @@ status: published title: Oxford Town Centre Dataset desc: Oxford Town Centre is a dataset of surveillance camera footage from Cornmarket St Oxford, England subdesc: The Oxford Town Centre dataset includes approximately 2,200 identities and is used for research and development of face recognition systems +caption: A still frame from the Oxford Town Centre CCTV video-dataset slug: oxford_town_centre cssclass: dataset image: assets/background.jpg @@ -14,12 +15,14 @@ authors: Adam Harvey ------------ -## Oxford Town Centre +# Oxford Town Centre ### sidebar ### end sidebar -The Oxford Town Centre dataset is a CCTV video of pedestrians in a busy downtown area in Oxford used for research and development of activity and face recognition systems.[^ben_benfold_orig] The CCTV video was obtained from a surveillance camera at the corner of Cornmarket and Market St. in Oxford, England and includes approximately 2,200 people. Since its publication in 2009[^guiding_surveillance] the [Oxford Town Centre dataset](http://www.robots.ox.ac.uk/ActiveVision/Research/Projects/2009bbenfold_headpose/project.html) has been used in over 80 verified research projects including commercial research by Amazon, Disney, OSRAM, and Huawei; and academic research in China, Israel, Russia, Singapore, the US, and Germany among dozens more. +The Oxford Town Centre dataset is a CCTV video of pedestrians in a busy downtown area in Oxford used for research and development of activity and face recognition systems.[^ben_benfold_orig] + +The CCTV video was obtained from a surveillance camera at the corner of Cornmarket and Market St. in Oxford, England and includes approximately 2,200 people. Since its publication in 2009[^guiding_surveillance] the [Oxford Town Centre dataset](http://www.robots.ox.ac.uk/ActiveVision/Research/Projects/2009bbenfold_headpose/project.html) has been used in over 80 verified research projects including commercial research by Amazon, Disney, OSRAM, and Huawei; and academic research in China, Israel, Russia, Singapore, the US, and Germany among dozens more. The Oxford Town Centre dataset is unique in that it uses footage from a public surveillance camera that would otherwise be designated for public safety. The video shows that the pedestrians act normally and unrehearsed indicating they neither knew of nor consented to participation in the research project. diff --git a/site/content/pages/datasets/pipa/assets/age.csv b/site/content/pages/datasets/pipa/assets/age.csv new file mode 100644 index 00000000..c742bcb3 --- /dev/null +++ b/site/content/pages/datasets/pipa/assets/age.csv @@ -0,0 +1,10 @@ +age,faces +0 - 12,6 +13 - 18,929 +19 - 24,3598 +25 - 34,6035 +35 - 44,5055 +45 - 54,2833 +55 - 64,741 +64 - 75,173 +75 - 100,17 diff --git a/site/content/pages/datasets/pipa/assets/gender.csv b/site/content/pages/datasets/pipa/assets/gender.csv new file mode 100644 index 00000000..b128aaec --- /dev/null +++ b/site/content/pages/datasets/pipa/assets/gender.csv @@ -0,0 +1,4 @@ +gender,faces +Male,10750 +Female,9423 +They,1741 diff --git a/site/content/pages/datasets/pipa/index.md b/site/content/pages/datasets/pipa/index.md index ca30b693..dd59cafb 100644 --- a/site/content/pages/datasets/pipa/index.md +++ b/site/content/pages/datasets/pipa/index.md @@ -14,7 +14,7 @@ authors: Adam Harvey ------------ -## MegaFace +## PIPA: People in Photo Albums ### sidebar ### end sidebar diff --git a/site/content/pages/datasets/uccs/index.md b/site/content/pages/datasets/uccs/index.md index b493c633..3b9bed8a 100644 --- a/site/content/pages/datasets/uccs/index.md +++ b/site/content/pages/datasets/uccs/index.md @@ -5,6 +5,7 @@ title: UnConstrained College Students Dataset slug: uccs desc: UnConstrained College Students is a dataset of long-range surveillance photos of students on University of Colorado in Colorado Springs campus subdesc: The UnConstrained College Students dataset includes 16,149 images of 1,732 students, faculty, and pedestrians and is used for developing face recognition and face detection algorithms +caption: One of 16,149 images form the UnConstrained College Students face recognition dataset captured at University of Colorado, Colorado Springs image: assets/background.jpg cssclass: dataset image: assets/background.jpg @@ -15,12 +16,16 @@ authors: Adam Harvey ------------ -## UnConstrained College Students +# UnConstrained College Students + +*Update: In response to this report and its previous publication of metadata from UCCS dataset photos, UCCS has temporarily suspended its dataset, but plans to release a new version.* ### sidebar ### end sidebar -UnConstrained College Students (UCCS) is a dataset of long-range surveillance photos captured at University of Colorado Colorado Springs developed primarily for research and development of "face detection and recognition research towards surveillance applications"[^uccs_vast]. According to the authors of [two](https://www.semanticscholar.org/paper/Unconstrained-Face-Detection-and-Open-Set-Face-G%C3%BCnther-Hu/d4f1eb008eb80595bcfdac368e23ae9754e1e745) [papers](https://www.semanticscholar.org/paper/Large-scale-unconstrained-open-set-face-database-Sapkota-Boult/07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1) associated with the dataset, over 1,700 students and pedestrians were "photographed using a long-range high-resolution surveillance camera without their knowledge".[^funding_uccs] This analysis examines the [UCCS dataset](http://vast.uccs.edu/Opensetface/) contents of the [dataset](), its funding sources, timestamp data, and information from publicly available research project citations. +UnConstrained College Students (UCCS) is a dataset of long-range surveillance photos captured at University of Colorado Colorado Springs developed primarily for research and development of "face detection and recognition research towards surveillance applications"[^uccs_vast]. + +According to the authors of [two](https://www.semanticscholar.org/paper/Unconstrained-Face-Detection-and-Open-Set-Face-G%C3%BCnther-Hu/d4f1eb008eb80595bcfdac368e23ae9754e1e745) [papers](https://www.semanticscholar.org/paper/Large-scale-unconstrained-open-set-face-database-Sapkota-Boult/07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1) associated with the dataset, over 1,700 students and pedestrians were "photographed using a long-range high-resolution surveillance camera without their knowledge".[^funding_uccs] This analysis examines the [UCCS dataset](http://vast.uccs.edu/Opensetface/) contents of the [dataset](), its funding sources, timestamp data, and information from publicly available research project citations. The UCCS dataset includes over 1,700 unique identities, most of which are students walking to and from class. In 2018, it was the "largest surveillance [face recognition] benchmark in the public domain."[^surv_face_qmul] The photos were taken during the spring semesters of 2012 – 2013 on the West Lawn of the University of Colorado Colorado Springs campus. The photographs were timed to capture students during breaks between their scheduled classes in the morning and afternoon during Monday through Thursday. "For example, a student taking Monday-Wednesday classes at 12:30 PM will show up in the camera on almost every Monday and Wednesday."[^sapkota_boult]. diff --git a/site/content/pages/datasets/vgg_face/assets/background.jpg b/site/content/pages/datasets/vgg_face/assets/background.jpg deleted file mode 100755 index 6958a2b2..00000000 Binary files a/site/content/pages/datasets/vgg_face/assets/background.jpg and /dev/null differ diff --git a/site/content/pages/datasets/vgg_face/assets/ijb_c_montage.jpg b/site/content/pages/datasets/vgg_face/assets/ijb_c_montage.jpg deleted file mode 100755 index 3b5a0e40..00000000 Binary files a/site/content/pages/datasets/vgg_face/assets/ijb_c_montage.jpg and /dev/null differ diff --git a/site/content/pages/datasets/vgg_face/assets/index.jpg b/site/content/pages/datasets/vgg_face/assets/index.jpg deleted file mode 100755 index 7268d6ad..00000000 Binary files a/site/content/pages/datasets/vgg_face/assets/index.jpg and /dev/null differ diff --git a/site/content/pages/datasets/vgg_face/index.md b/site/content/pages/datasets/vgg_face/index.md deleted file mode 100644 index 2424f1ff..00000000 --- a/site/content/pages/datasets/vgg_face/index.md +++ /dev/null @@ -1,30 +0,0 @@ ------------- - -status: draft -title: VGG Face -desc: VGG Face Dataset -subdesc: VGG Face ... -slug: vgg_face -cssclass: dataset -image: assets/background.jpg -year: 2016 -published: 2019-4-18 -updated: 2019-4-18 -authors: Adam Harvey - ------------- - -## MegaFace - -### sidebar -### end sidebar - -[ page under development ] - -{% include 'dashboard.html' %} - -{% include 'supplementary_header.html' %} - -{% include 'cite_our_work.html' %} - -### Footnotes diff --git a/site/content/pages/datasets/who_goes_there/index.md b/site/content/pages/datasets/who_goes_there/index.md index feb9896d..c6fe3806 100644 --- a/site/content/pages/datasets/who_goes_there/index.md +++ b/site/content/pages/datasets/who_goes_there/index.md @@ -3,7 +3,7 @@ status: draft title: Who Goes There Dataset desc: Who Goes There Dataset -subdesc: Who Goes There (page under development) +subdesc: Who Goes There slug: who_goes_there cssclass: dataset image: assets/background.jpg diff --git a/site/content/pages/research/munich_security_conference/index.md b/site/content/pages/research/munich_security_conference/index.md index 29b278a9..365ee404 100644 --- a/site/content/pages/research/munich_security_conference/index.md +++ b/site/content/pages/research/munich_security_conference/index.md @@ -23,6 +23,7 @@ authors: Adam Harvey + Years: 2006 - 2018 + Last Updated: July 7, 2019 + Text and Research: Adam Harvey ++ Published in: Transnational Security Report ### end sidebar -- cgit v1.2.3-70-g09d2 From 59fbaaa9eb5539b89a6ed43682a8074356b1366d Mon Sep 17 00:00:00 2001 From: adamhrv Date: Tue, 8 Oct 2019 18:39:21 +0200 Subject: styling --- TODO.md | 20 +++++++---- client/modalImage/modal.css | 1 + site/assets/css/css.css | 39 +++++++++++++++------- site/content/pages/about/index.md | 18 +++++----- site/content/pages/datasets/brainwash/index.md | 4 +-- site/content/pages/datasets/index.md | 2 +- site/content/pages/datasets/megaface/index.md | 37 ++++++++++++++++++-- .../research/munich_security_conference/index.md | 22 +++++------- site/public/about/index.html | 18 +++++----- site/public/datasets/brainwash/index.html | 4 +-- site/public/datasets/index.html | 2 +- site/public/datasets/megaface/index.html | 22 ++++++++++-- .../research/munich_security_conference/index.html | 23 ++++++------- 13 files changed, 140 insertions(+), 72 deletions(-) (limited to 'site/content/pages') diff --git a/TODO.md b/TODO.md index 90de6790..da90ab57 100644 --- a/TODO.md +++ b/TODO.md @@ -1,14 +1,22 @@ # TODO -## CSS +## Updates for NYT October 13/14 -- change font size in Tabulator to 12px (can't find where to edit it) +### Charts -## Charts, JS +- fix background hover on bar graph chart? remove extra black bg -- can we make the age/gender all in one include? -- can we auto-add download links to age/gender csv? -- can the pie chart labels keep same order as in CSV? +### CSS +- change tabulator to white/gry +- add a markdown parser? to handle a new update blurb at top of dataset pages. For now I used CSS selectors, but seems brittle +- can you check mobile css? my white-style edits might have broken +### MegaFace Dataset + +- origin needs to be fixed (in the ocean) + +### Homepage + +- feel like we need a "face" diff --git a/client/modalImage/modal.css b/client/modalImage/modal.css index cc9a1f32..c8ef9b60 100644 --- a/client/modalImage/modal.css +++ b/client/modalImage/modal.css @@ -32,6 +32,7 @@ display: block; text-align: center; /*background: black;*/ + color: #FFF; padding: 10px; } .modal .prev span, diff --git a/site/assets/css/css.css b/site/assets/css/css.css index 75f1ad3f..ae22fa1a 100644 --- a/site/assets/css/css.css +++ b/site/assets/css/css.css @@ -156,7 +156,7 @@ footer { display: flex; flex-direction: row; justify-content: space-between; - color: #000; + color: #ccc; font-size: 13px; /*line-height: 17px;*/ padding: 15px; @@ -179,6 +179,9 @@ footer a { padding-bottom: 1px; text-decoration: none; } +.desktop footer a { + border-bottom:1px solid #999; +} .desktop footer a:hover { color: #fff; border-bottom:1px solid #999; @@ -214,7 +217,8 @@ footer ul:last-child li { h1 { color: #000; font-weight: 500; - font-size: 30pt; + font-size: 28pt; + line-height: 38pt; margin: 20px auto 10px auto; padding: 0; transition: color 0.1s cubic-bezier(0,0,1,1); @@ -382,12 +386,24 @@ section h1, section h2, section h3, section h4, section h5, section h6, section } .content-dataset section:nth-child(4) p:nth-child(2){ font-size:20px; - line-height: 32px; + line-height: 34px; color:#000; } .content-dataset section:nth-child(3) p:nth-child(2) { + /* highlight news text */ + /*font-style: italic;*/ + font-weight: 500; + color:#f00; +} +.content-dataset section:nth-child(3) p:nth-child(2) a{ + /* highlight news text */ + color:#f00; + border-bottom: 1px solid #f00; +} +.content-dataset section:nth-child(3) p:nth-child(2) a:hover{ /* highlight news text */ color:#f00; + border-bottom: 1px solid #f00; } p.subp{ font-size: 14px; @@ -492,15 +508,14 @@ p.subp{ /* lists */ ul { - list-style-type: none; + list-style-type: square; margin: 0 0 30px 0; padding: 0; } ul li { margin-bottom: 8px; - color: #333; font-weight: 400; - font-size: 14px; + font-size: 15px; } /* misc formatting */ @@ -626,8 +641,8 @@ ul.footnotes p { font-family: 'Roboto Mono', monospace; font-weight: 400; text-transform: uppercase; - color: #666; - font-size: 11pt; + color: #333; + font-size: 12pt; } /* images */ @@ -1154,8 +1169,8 @@ ul.map-legend li.source:before { font-weight: 300; } .content-about section:first-of-type > p:first-of-type { - font-size: 22px; - line-height: 40px; + font-size: 26px; + line-height: 42px; } .content-about .about-menu ul li { display: inline-block; @@ -1258,13 +1273,13 @@ ul.map-legend li.source:before { /* footnotes */ a.footnote { - font-size: 9px; + font-size: 10px; line-height: 0px; position: relative; /*display: inline-block;*/ bottom: 7px; text-decoration: none; - color: #666; + color: #333; border: 0; left: -1px; transition-duration: 0s; diff --git a/site/content/pages/about/index.md b/site/content/pages/about/index.md index 90072b37..f07a79ee 100644 --- a/site/content/pages/about/index.md +++ b/site/content/pages/about/index.md @@ -35,8 +35,13 @@ MegaPixels is an independent project, designed as a public resource for educator A dataset of verified geocoded citations and dataset statistics will be published in Fall 2019 along with a research paper as part of a research fellowship for [KIM (Critical Artificial Intelligence) Karlsruhe HfG](http://kim.hfg-karlsruhe.de/). +#### Team -### Selected News and Exhibitions +- [Adam Harvey](https://ahprojects.com): Concept, research and analysis, design, computer vision +- [Jules LaPlace](https://asdf.us): Information and systems architecture, data management, citation geocoding, web applications + + +### News and Publications - July 2019: New York Times writes about MegaPixels and how "[Facial Recognition Tech Is Growing Stronger, Thanks to Your Face](https://www.nytimes.com/2019/07/13/technology/databases-faces-facial-recognition-technology.html)" - June 2019 - 2020: MegaPixels installation at Ars Electronica Center (AT) exhibition ["Compass - Navigating the Future"](https://ars.electronica.art/center/en/megapixels) @@ -46,18 +51,13 @@ A dataset of verified geocoded citations and dataset statistics will be publishe Read more [news](/about/news) -##### Team - -- Adam Harvey: Concept, research and analysis, design, computer vision -- Jules LaPlace: Information and systems architecture, data management, web applications - -##### Contributing Researchers +#### Contributing Researchers - Beth (aka Ms. Celeb) - Berit Gilma - Mathana Stender -##### Code and Libraries +#### Code and Libraries - [Semantic Scholar](https://semanticscholar.org) for citation aggregation - Leaflet.js for maps @@ -66,7 +66,7 @@ Read more [news](/about/news) - PDFMiner.Six and Pandas for research paper analysis -##### Attribution +#### Attribution If you use MegaPixels or any data derived from it for your work, please cite our original work as follows: diff --git a/site/content/pages/datasets/brainwash/index.md b/site/content/pages/datasets/brainwash/index.md index 6d2279cb..a61c007c 100644 --- a/site/content/pages/datasets/brainwash/index.md +++ b/site/content/pages/datasets/brainwash/index.md @@ -4,7 +4,7 @@ status: published title: Brainwash Dataset desc: Brainwash is a dataset of webcam images taken from the Brainwash Cafe in San Francisco subdesc: It includes 11,917 images of "everyday life of a busy downtown cafe" and is used for training face and head detection algorithms -caption: One of 11,917 images from the Brainwash dataset captured from the Brainwash Cafe in San Francisco +caption: One of the 11,917 images in the Brainwash dataset captured from the Brainwash Cafe in San Francisco slug: brainwash cssclass: dataset image: assets/background.jpg @@ -17,7 +17,7 @@ authors: Adam Harvey # Brainwash Dataset -*Update: In response to the publication of this report, the Brainwash dataset has been "removed from access at the request of the depositor."* +Update: In response to the publication of this report, the Brainwash dataset has been "removed from access at the request of the depositor." ### sidebar diff --git a/site/content/pages/datasets/index.md b/site/content/pages/datasets/index.md index 54912242..f3d5fea0 100644 --- a/site/content/pages/datasets/index.md +++ b/site/content/pages/datasets/index.md @@ -16,4 +16,4 @@ sync: false Explore face and person recognition datasets contributing to the growing crisis of biometric surveillance technologies. This first group of 5 datasets focuses on image usage connected to foreign surveillance and defense organizations. -In response to the analyses below, the [Brainwash](https://purl.stanford.edu/sx925dc9385), [Duke MTMC](http://vision.cs.duke.edu/DukeMTMC/), and [MS Celeb](http://msceleb.org/) datasets have been taken down by their authors. The [UCCS](https://vast.uccs.edu/Opensetface/) dataset was temporarily deactivated due to metadata exposure. Read more [news](/about/news). A more complete list of datasets and research will be published in September 2019. These 5 are only a preview. +In response to the analyses below, the [Brainwash](/datasets/brainwash), [Duke MTMC](/datasets/duke_mtmc), and [MS Celeb](/datasets/msceleb/) datasets have been taken down by their authors. The [UCCS](/dataests/uccs/) dataset was temporarily deactivated due to metadata exposure. Read more [news](/about/news). A more complete list of datasets and research will be published in September 2019. These 5 are only a preview. diff --git a/site/content/pages/datasets/megaface/index.md b/site/content/pages/datasets/megaface/index.md index 2009e70e..9c282cb2 100644 --- a/site/content/pages/datasets/megaface/index.md +++ b/site/content/pages/datasets/megaface/index.md @@ -7,6 +7,7 @@ subdesc: MegaFace contains 670K identities and 4.7M images caption: Example images from the MegaFace dataset slug: megaface cssclass: dataset +caption: Images from the MegaFace face recognition training and benchmarking dataset image: assets/background.jpg year: 2016 published: 2019-4-18 @@ -15,12 +16,44 @@ authors: Adam Harvey ------------ -## MegaFace +# MegaFace ### sidebar ### end sidebar -MegaFace is a dataset... +MegaFace is a dataset of 4,700,000 face images of 672,000 individuals used for developing face recognition technologies. All images were downloaded from Flickr. + +#### How was it made + +MegaFace was developed by the University of Washington for the purpose of trainng, validating, and benchmarking face recognition algorithms. + +The images are from Flickr, but are they all from YFCC100M? + +#### Who used it + +MegaFace was used for research projects associated with SenseTime, Google, Mitsubishi, Vision Semantics Ltd, Microsoft. + +#### Subsets + +MegaFace was also used for MegaFace Asian, and MegaAge, and glasses. + +#### A sample of the research projects + +Used for face recognition + +screenshots of papers + +#### Visuals + +- facial landmarks +- bounding boxes +- animation of all the titles of the paper +- + +### + + + {% include 'dashboard.html' %} diff --git a/site/content/pages/research/munich_security_conference/index.md b/site/content/pages/research/munich_security_conference/index.md index 365ee404..75392dc3 100644 --- a/site/content/pages/research/munich_security_conference/index.md +++ b/site/content/pages/research/munich_security_conference/index.md @@ -5,7 +5,8 @@ title: Transnational Flows of Face Recognition Image Training Data slug: munich-security-conference desc: Transnational Flows of Face Recognition Image Training Data subdesc: Where does face data originate and who's using it? -cssclass: dataset +caption: An image from the MegaFace face recognition training dataset taken from the U.S. Embassy of Madrid Flickr account +cssclass: blog image: assets/background.jpg published: 2019-6-28 updated: 2019-6-29 @@ -13,6 +14,7 @@ authors: Adam Harvey ------------ +# Transnational Flows of Face Recognition Image Training Data *A case study on publicly available facial recognition datasets for the Munich Security Conference's Transnational Security Report* @@ -33,19 +35,13 @@ Our [earlier research](https://www.ft.com/content/cf19b956-60a2-11e9-b285-3acd5d In this new research for the [Munich Security Conference's Transnational Security Report](https://tsr.securityconference.de) we provide summary statistics about the origins and endpoints of facial recognition information supply chains. To make it more personal, we gathered additional data on the number of public photos from embassies that are currently being used in facial recognition training datasets. -
-

Key Findings

- -
    -
  • 24 million non-cooperative images were used in facial recognition research projects
    • -
  • Most data originated from US-based search engines and Flickr, but most research citations found in China
    • -
  • Over 6,000 of the images were from US, British, Italian, and French embassies (mostly US embassies)
    • -
  • Images were used for commercial research by Google (US), Microsoft (US), SenseTime (China), Tencent (China), Mitsubishi (Japan), ExpertSystems (Italy), Siren Solution (Ireland), and Paradigma Digital (Spain); and military research by National University of Defense Technology (China)
    • -
- -
+### Key Findings +- 24 million non-cooperative images were used in facial recognition research prects +- Most data originated from US-based search engines and Flickr, but most research citations found in China +- Over 6,000 of the images were from US, British, Italian, and French embassies (mostly US embassies) +- Images were used for commercial research by Google (US), Microsoft (US), SenseTime (China), Tencent (China), Mitsubishi (Japan), ExpertSystems (Italy), Siren Solution (Ireland), and Paradigma Digital (Spain); and military research by National University of Defense Technology (China) ### 24 Million Photos @@ -74,7 +70,7 @@ OtherLabel: Other === end columns -![](assets/7118211377.jpg) +![caption: A photo from the U.S Embassy in Tokyo found in a facial recognition training dataset](assets/7118211377.jpg) ### 8,428 Embassy Photos Found in Facial Recognition Datasets diff --git a/site/public/about/index.html b/site/public/about/index.html index 427a97a2..e5a120d1 100644 --- a/site/public/about/index.html +++ b/site/public/about/index.html @@ -69,7 +69,12 @@

MegaPixels aims to provide a critical perspective on machine learning image datasets, one that might otherwise escape academia and industry funded artificial intelligence think tanks that are often supported by the same technology companies who created many of the datasets presented on this site.

MegaPixels is an independent project, designed as a public resource for educators, students, journalists, and researchers. Each dataset presented on this site undergoes a thorough review of its images, intent, and citations. MegaPixels is a website-first research project, with an academic publication to follow in fall 2019.

A dataset of verified geocoded citations and dataset statistics will be published in Fall 2019 along with a research paper as part of a research fellowship for KIM (Critical Artificial Intelligence) Karlsruhe HfG.

-

Selected News and Exhibitions

+

Team

+
    +
  • Adam Harvey: Concept, research and analysis, design, computer vision
    • +
  • Jules LaPlace: Information and systems architecture, data management, citation geocoding, web applications
    • +
+

News and Publications

Read more news

-
Team
-
    -
  • Adam Harvey: Concept, research and analysis, design, computer vision
    • -
  • Jules LaPlace: Information and systems architecture, data management, web applications
    • -
-
Contributing Researchers
+

Contributing Researchers

  • Beth (aka Ms. Celeb)
  • Berit Gilma
  • Mathana Stender
-
Code and Libraries
+

Code and Libraries

  • Semantic Scholar for citation aggregation
  • Leaflet.js for maps
    • @@ -96,7 +96,7 @@
  • ThreeJS for 3D visualizations
  • PDFMiner.Six and Pandas for research paper analysis
-
Attribution
+

Attribution

If you use MegaPixels or any data derived from it for your work, please cite our original work as follows:

 @online{megapixels,
diff --git a/site/public/datasets/brainwash/index.html b/site/public/datasets/brainwash/index.html
index d715d163..efd2f5a8 100644
--- a/site/public/datasets/brainwash/index.html
+++ b/site/public/datasets/brainwash/index.html
@@ -55,8 +55,8 @@
   
   

     
-  
One of 11,917 images from the Brainwash dataset captured from the Brainwash Cafe in San Francisco
Brainwash Dataset

-
Update: In response to the publication of this report, the Brainwash dataset has been "removed from access at the request of the depositor."

+  
One of the 11,917 images in the Brainwash dataset captured from the Brainwash Cafe in San Francisco
Brainwash Dataset

+
Update: In response to the publication of this report, the Brainwash dataset has been "removed from access at the request of the depositor."

 

     
Published

     
2015

diff --git a/site/public/datasets/index.html b/site/public/datasets/index.html
index c17caeb0..a354a2d5 100644
--- a/site/public/datasets/index.html
+++ b/site/public/datasets/index.html
@@ -59,7 +59,7 @@
   

     
Dataset Analyses

 
Explore face and person recognition datasets contributing to the growing crisis of biometric surveillance technologies. This first group of 5 datasets focuses on image usage connected to foreign surveillance and defense organizations.

-
In response to the analyses below, the Brainwash, Duke MTMC, and MS Celeb datasets have been taken down by their authors. The UCCS dataset was temporarily deactivated due to metadata exposure. Read more news. A more complete list of datasets and research will be published in September 2019. These 5 are only a preview.

+
In response to the analyses below, the Brainwash, Duke MTMC, and MS Celeb datasets have been taken down by their authors. The UCCS dataset was temporarily deactivated due to metadata exposure. Read more news. A more complete list of datasets and research will be published in September 2019. These 5 are only a preview.

 

   

 
diff --git a/site/public/datasets/megaface/index.html b/site/public/datasets/megaface/index.html
index 78f6a0cc..7ef1842f 100644
--- a/site/public/datasets/megaface/index.html
+++ b/site/public/datasets/megaface/index.html
@@ -55,7 +55,7 @@
   
   

     
-  
Example images from the MegaFace dataset
MegaFace

+  
Images from the MegaFace face recognition training and benchmarking dataset
MegaFace

 

     
Published

     
2016

@@ -71,7 +71,25 @@
   

     
Website

     
-  
MegaFace is a dataset...

+  
MegaFace is a dataset of 4,700,000 face images of 672,000 individuals used for developing face recognition technologies. All images were downloaded from Flickr.

+
How was it made

+
MegaFace was developed by the University of Washington for the purpose of trainng, validating, and benchmarking face recognition algorithms.

+
The images are from Flickr, but are they all from YFCC100M?

+
Who used it

+
MegaFace was used for research projects associated with SenseTime, Google, Mitsubishi, Vision Semantics Ltd, Microsoft.

+
Subsets

+
MegaFace was also used for MegaFace Asian, and MegaAge, and glasses.

+
A sample of the research projects

+
Used for face recognition

+
screenshots of papers

+
Visuals

+
    
+
  • facial landmarks
    • 
+
  • bounding boxes
    • 
+
  • animation of all the titles of the paper
    • 
+
  • 
+

+
#

 

   
Who used MegaFace Dataset?

 
diff --git a/site/public/research/munich_security_conference/index.html b/site/public/research/munich_security_conference/index.html
index b43df151..3b18f1cd 100644
--- a/site/public/research/munich_security_conference/index.html
+++ b/site/public/research/munich_security_conference/index.html
@@ -53,27 +53,24 @@
       Research
     

   
-  

+  

     
-  
A case study on publicly available facial recognition datasets for the Munich Security Conference's Transnational Security Report

+  
An image from the MegaFace face recognition training dataset taken from the U.S. Embassy of Madrid Flickr account
Transnational Flows of Face Recognition Image Training Data

+
A case study on publicly available facial recognition datasets for the Munich Security Conference's Transnational Security Report

 
Images Analyzed
24,302,637
Datasets Analyzed
30
Years
2006 - 2018
Last Updated
July 7, 2019
Text and Research
Adam Harvey
Published in
National AI strategies often rely on transnational data sources to capitalize on recent advancements in deep learning and neural networks. Researchers benefiting from these transnational data flows can yield quick and significant gains across diverse sectors from health care to biometrics. But new challenges emerge when national AI strategies collide with national interests.

 
Our earlier research on the MS Celeb and Duke datasets published with the Financial Times revealed that several computer vision image datasets created by US companies and universities were unexpectedly also used for research by the National University of Defense Technology in China, along with top Chinese surveillance firms including SenseTime, SenseNets, CloudWalk, Hikvision, and Megvii/Face++ which have all been linked to oppressive surveillance in the Xinjiang region of China.

 
In this new research for the Munich Security Conference's Transnational Security Report we provide summary statistics about the origins and endpoints of facial recognition information supply chains. To make it more personal, we gathered additional data on the number of public photos from embassies that are currently being used in facial recognition training datasets.

-

-
-
Key Findings

-
+
Key Findings

 
    
-  
  • 24 million non-cooperative images were used in facial recognition research projects
    • 
-  
  • Most data originated from US-based search engines and Flickr, but most research citations found in China
    • 
-  
  • Over 6,000 of the images were from US, British, Italian, and French embassies (mostly US embassies)
    • 
-  
  • Images were used for commercial research by Google (US), Microsoft (US), SenseTime (China), Tencent (China), Mitsubishi (Japan), ExpertSystems (Italy), Siren Solution (Ireland), and Paradigma Digital (Spain); and military research by National University of Defense Technology (China)
    • 
+
  • 24 million non-cooperative images were used in facial recognition research prects
    • 
+
  • Most data originated from US-based search engines and Flickr, but most research citations found in China
    • 
+
  • Over 6,000 of the images were from US, British, Italian, and French embassies (mostly US embassies)
    • 
+
  • Images were used for commercial research by Google (US), Microsoft (US), SenseTime (China), Tencent (China), Mitsubishi (Japan), ExpertSystems (Italy), Siren Solution (Ireland), and Paradigma Digital (Spain); and military research by National University of Defense Technology (China)
    • 
 

-
-
24 Million Photos

+
24 Million Photos

 
Origins: In total, we found over 24 million non-cooperative, non-consensual photos in 30 publicly available face recognition and face analysis datasets. Of these 24 million images, over 15 million face images are from Internet search engines, over 5.8 million from Flickr.com, over 2.5 million from the Internet Movie Database (IMDb.com), and nearly 500,000 from CCTV footage. All 24 million images were collected without any explicit consent, a type of face image that researchers call "in the wild". Every image contains at least one face and many photos contain multiple faces. There are approximately 1 million unique identities across all 24 million images.

 
Endpoints:To understand the geographic dimensions of the data, we manually verified 1,134 publicly available research papers that cite these datasets to determine who was using the face data and where it was being used. Even though the vast majority of the images originated in the United States or from US companies, publicly available research papers show that only about 25% of the citations are from the United States while the majority are from China. Because only English research papers were analyzed the number of foreign research papers is likely to be larger and reflect increased foreign usage.

-
8,428 Embassy Photos Found in Facial Recognition Datasets

+
 A photo from the U.S Embassy in Tokyo found in a facial recognition training dataset
 A photo from the U.S Embassy in Tokyo found in a facial recognition training dataset
8,428 Embassy Photos Found in Facial Recognition Datasets

 
Out of the 24 million images analyzed, at least 8,428 embassy images were found in face recognition and facial analysis datasets. These images were found by cross-referencing Flickr IDs and URLs between datasets to locate 5,667 images in the MegaFace dataset, 389 images in the IBM Diversity in Faces datasets, and 2,372 images in the Who Goes There dataset. MegaFace is one of the most widely used publicly available face recognition datasets for academic, commercial, and defense-related research.

 
In total, these 8,428 images were found to be used in at least 42 countries with most citations originating in China and most images originating from US embassies. The images were found to be used in research projects with links to commercial and defense organization including Google, Microsoft, National University of Defense Technology in China, SenseTime, Tencent, Mitsubishi, ExpertSystems (Italy), Siren Solution (Ireland), and Paradigma Digital (Spain).

 
The embassy and consulate photos below were all found in either the MegaFace or IBM Diversity in Faces datasets. Consulates were only included if marked as "EMBASSY" by the U.S. Department of State’s Social Media Presence List. Photos below were chosen because of inclusion of an embassy logo. All photos originated on Flickr.com and were published with a Creative Commons license.

-- 
cgit v1.2.3-70-g09d2


From c574e09e73b90174d0c36caa1db5ad3b912ff466 Mon Sep 17 00:00:00 2001
From: adamhrv 
Date: Thu, 10 Oct 2019 12:22:12 +0200
Subject: update site theme, white

---
 TODO.md                                            |   18 +-
 client/table/citations.table.js                    |    2 +-
 client/table/index.js                              |    3 +-
 client/table/tabulator.css                         |   32 +-
 package-lock.json                                  | 1472 ++++++++++++++++++--
 package.json                                       |    3 +-
 site/assets/css/applets.css                        |    2 +-
 site/assets/css/css.css                            |    8 +-
 site/content/pages/datasets/duke_mtmc/index.md     |    2 +-
 .../content/pages/datasets/helen/assets/gender.csv |    2 +-
 .../pages/datasets/megaface/assets/gender.csv      |    6 +-
 site/includes/dashboard.html                       |    2 +-
 site/public/datasets/adience/index.html            |    4 +-
 site/public/datasets/brainwash/index.html          |    2 +-
 site/public/datasets/duke_mtmc/index.html          |    6 +-
 site/public/datasets/helen/index.html              |    2 +-
 site/public/datasets/ibm_dif/index.html            |    4 +-
 site/public/datasets/ijb_c/index.html              |    4 +-
 site/public/datasets/lfpw/index.html               |    4 +-
 site/public/datasets/megaface/index.html           |    7 +-
 site/public/datasets/msceleb/index.html            |    2 +-
 site/public/datasets/oxford_town_centre/index.html |    2 +-
 site/public/datasets/pipa/index.html               |    4 +-
 site/public/datasets/uccs/index.html               |    2 +-
 site/public/datasets/who_goes_there/index.html     |    4 +-
 25 files changed, 1442 insertions(+), 157 deletions(-)

(limited to 'site/content/pages')

diff --git a/TODO.md b/TODO.md
index da90ab57..69d73a00 100644
--- a/TODO.md
+++ b/TODO.md
@@ -2,21 +2,17 @@
 
 ## Updates for NYT October 13/14
 
+### Dataset pages
 
-### Charts
-
-- fix background hover on bar graph chart? remove extra black bg
+- tabulator: remove hover effect (overriding css a:hover doesn't seem to fix it)
+- bar chart, pie chart: possible to find better color scheme for white? The yellow is too light
+- MegaFace dataset origin needs to be fixed (in the middle of the ocean now)
 
 ### CSS
 
-- change tabulator to white/gry
-- add a markdown parser? to handle a new update blurb at top of dataset pages. For now I used CSS selectors, but seems brittle
-- can you check mobile css? my white-style edits might have broken 
-
-### MegaFace Dataset
-
-- origin needs to be fixed (in the ocean)
+- add a markdown parser to handle a new update blurb at top of dataset pages. For now I used CSS selectors, but seems brittle. Using this to call out the takedowns/important news
+- can you check everything still works and looks good on mobile css? my white-style edits might have broken 
 
 ### Homepage
 
-- feel like we need a "face"
+- feel like we need a "face lift" here. any ideas?
\ No newline at end of file
diff --git a/client/table/citations.table.js b/client/table/citations.table.js
index c1c71906..45da5676 100644
--- a/client/table/citations.table.js
+++ b/client/table/citations.table.js
@@ -117,7 +117,7 @@ class CitationsTable extends Component {
           columns={citationsColumns}
           data={filteredCitations}
           options={{
-            height: Math.max(104, Math.min(37 * formattedCitations.length + 29, 311)),
+            // height: Math.max(104, Math.min(30 * formattedCitations.length + 30, 1000)),
             layout: 'fitColumns',
             placeholder: formattedCitations.length ? '' : 'Nothing matches your query',
           }}
diff --git a/client/table/index.js b/client/table/index.js
index c741f33e..492a6ab3 100644
--- a/client/table/index.js
+++ b/client/table/index.js
@@ -1,5 +1,6 @@
 import 'react-tabulator/lib/styles.css'
-import 'react-tabulator/lib/css/tabulator_midnight.css'
+//import 'react-tabulator/lib/css/tabulator_midnight.css'
+import 'react-tabulator/lib/css/semantic-ui/tabulator_semantic-ui.css'
 import './tabulator.css'
 
 import CitationsTable from './citations.table'
diff --git a/client/table/tabulator.css b/client/table/tabulator.css
index 0d9e8ff1..a1504dd6 100644
--- a/client/table/tabulator.css
+++ b/client/table/tabulator.css
@@ -1,23 +1,27 @@
 .tabulator {
-  border-left: 1px solid #333;
-  border-bottom: 1px solid #333;
+  /*border-left: 1px solid #333;
+  border-bottom: 1px solid #333;*/
   font-size: 12px;
 }
 .tabulator-row.tabulator-row-odd {
-  background-color: #222;
+  background-color: #ddd;
 }
 .tabulator-row.tabulator-row-even {
-  background-color: #333;
+  background-color: #ebebeb;
+}
+.desktop .tabulator-row.tabulator-selectable.tabulator-row-odd:hover {
+  cursor: pointer ;
+  background-color: #ebebeb;
 }
 .desktop .tabulator-row.tabulator-selectable.tabulator-row-even:hover {
-  cursor: arrow;
-  background-color: #333;
+  cursor: pointer;
+  background-color: #ddd;
 }
-.desktop .tabulator-row.tabulator-selectable.tabulator-row-odd:hover {
-  cursor: arrow;
-  background-color: #222;
+.desktop .content .tabulator-row .tabulator-cell a{
+  border-bottom: none;
+  text-decoration: underline;
 }
-.tabulator-row .tabulator-cell {
+/*.tabulator-row .tabulator-cell {
   border-right: 1px solid #444;
   padding: 8px;
 }
@@ -33,7 +37,7 @@
 .multi-value-formatter-content span {
   border: 0;
   padding: 0 5px 0 0;
-}
+}*/
 
 .citationBrowser {
 }
@@ -56,13 +60,15 @@
 }
 .download {
   display: block;
-  font-size: 12px;
+  font-size: 11px;
   color: #333;
   cursor: pointer;
   background: #ddd;
-  padding: 5px 8px 5px 8px;
+  padding: 10px 14px;
   border-radius: 5px;
   transition: all 0.2s;
+  font-weight: 500;
+  text-transform: uppercase;
   border: 0 !important;
 }
 .content a.download {
diff --git a/package-lock.json b/package-lock.json
index 6920115d..ed66ddfb 100644
--- a/package-lock.json
+++ b/package-lock.json
@@ -211,6 +211,19 @@
         }
       }
     },
+    "@sindresorhus/is": {
+      "version": "0.14.0",
+      "resolved": "https://registry.npmjs.org/@sindresorhus/is/-/is-0.14.0.tgz",
+      "integrity": "sha512-9NET910DNaIPngYnLLPeg+Ogzqsi9uM4mSboU5y6p8S5DzMTVEsJZrawi+BoDNUVBa2DhJqQYUFvMDfgU062LQ=="
+    },
+    "@szmarczak/http-timer": {
+      "version": "1.1.2",
+      "resolved": "https://registry.npmjs.org/@szmarczak/http-timer/-/http-timer-1.1.2.tgz",
+      "integrity": "sha512-XIB2XbzHTN6ieIjfIMV9hlVcfPU26s2vafYWQcZHWXHOxiaRZYEDKEwdl129Zyg50+foYV2jCgtrqSA6qNuNSA==",
+      "requires": {
+        "defer-to-connect": "^1.0.1"
+      }
+    },
     "@types/node": {
       "version": "8.10.38",
       "resolved": "https://registry.npmjs.org/@types/node/-/node-8.10.38.tgz",
@@ -238,6 +251,15 @@
         "@types/react": "*"
       }
     },
+    "JSONStream": {
+      "version": "1.3.5",
+      "resolved": "https://registry.npmjs.org/JSONStream/-/JSONStream-1.3.5.tgz",
+      "integrity": "sha512-E+iruNOY8VV9s4JEbe1aNEm6MiszPRr/UfcHMz0TQh1BXSxHK+ASV1R6W4HpjBhSeS+54PIsAMCBmwD06LLsqQ==",
+      "requires": {
+        "jsonparse": "^1.2.0",
+        "through": ">=2.2.7 <3"
+      }
+    },
     "accepts": {
       "version": "1.3.5",
       "resolved": "https://registry.npmjs.org/accepts/-/accepts-1.3.5.tgz",
@@ -288,6 +310,22 @@
         }
       }
     },
+    "agent-base": {
+      "version": "4.3.0",
+      "resolved": "https://registry.npmjs.org/agent-base/-/agent-base-4.3.0.tgz",
+      "integrity": "sha512-salcGninV0nPrwpGNn4VTXBb1SOuXQBiqbrNXoeizJsHrsL6ERFM2Ne3JUSBWRE6aeNJI2ROP/WEEIDUiDe3cg==",
+      "requires": {
+        "es6-promisify": "^5.0.0"
+      }
+    },
+    "agentkeepalive": {
+      "version": "3.5.2",
+      "resolved": "https://registry.npmjs.org/agentkeepalive/-/agentkeepalive-3.5.2.tgz",
+      "integrity": "sha512-e0L/HNe6qkQ7H19kTlRRqUibEAwDK5AFk6y3PtMsuut2VAH6+Q4xZml1tNDJD7kSAyqmbG/K08K5WEJYtUrSlQ==",
+      "requires": {
+        "humanize-ms": "^1.2.1"
+      }
+    },
     "ajv": {
       "version": "6.6.1",
       "resolved": "https://registry.npmjs.org/ajv/-/ajv-6.6.1.tgz",
@@ -320,6 +358,39 @@
         "repeat-string": "^1.5.2"
       }
     },
+    "ansi-align": {
+      "version": "3.0.0",
+      "resolved": "https://registry.npmjs.org/ansi-align/-/ansi-align-3.0.0.tgz",
+      "integrity": "sha512-ZpClVKqXN3RGBmKibdfWzqCY4lnjEuoNzU5T0oEFpfd/z5qJHVarukridD4juLO2FXMiwUQxr9WqQtaYa8XRYw==",
+      "requires": {
+        "string-width": "^3.0.0"
+      },
+      "dependencies": {
+        "ansi-regex": {
+          "version": "4.1.0",
+          "resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-4.1.0.tgz",
+          "integrity": "sha512-1apePfXM1UOSqw0o9IiFAovVz9M5S1Dg+4TrDwfMewQ6p/rmMueb7tWZjQ1rx4Loy1ArBggoqGpfqqdI4rondg=="
+        },
+        "string-width": {
+          "version": "3.1.0",
+          "resolved": "https://registry.npmjs.org/string-width/-/string-width-3.1.0.tgz",
+          "integrity": "sha512-vafcv6KjVZKSgz06oM/H6GDBrAtz8vdhQakGjFIvNrHA6y3HCF1CInLy+QLq8dTJPQ1b+KDUqDFctkdRW44e1w==",
+          "requires": {
+            "emoji-regex": "^7.0.1",
+            "is-fullwidth-code-point": "^2.0.0",
+            "strip-ansi": "^5.1.0"
+          }
+        },
+        "strip-ansi": {
+          "version": "5.2.0",
+          "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-5.2.0.tgz",
+          "integrity": "sha512-DuRs1gKbBqsMKIZlrffwlug8MHkcnpjs5VPmL1PAh+mA30U0DTotfDZ0d2UUsXpPmPmMMJ6W773MaA3J+lbiWA==",
+          "requires": {
+            "ansi-regex": "^4.1.0"
+          }
+        }
+      }
+    },
     "ansi-colors": {
       "version": "3.2.3",
       "resolved": "https://registry.npmjs.org/ansi-colors/-/ansi-colors-3.2.3.tgz",
@@ -341,14 +412,12 @@
     "ansi-regex": {
       "version": "2.1.1",
       "resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-2.1.1.tgz",
-      "integrity": "sha1-w7M6te42DYbg5ijwRorn7yfWVN8=",
-      "dev": true
+      "integrity": "sha1-w7M6te42DYbg5ijwRorn7yfWVN8="
     },
     "ansi-styles": {
       "version": "2.2.1",
       "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-2.2.1.tgz",
-      "integrity": "sha1-tDLdM1i2NM914eRmQ2gkBTPB3b4=",
-      "dev": true
+      "integrity": "sha1-tDLdM1i2NM914eRmQ2gkBTPB3b4="
     },
     "anymatch": {
       "version": "1.3.2",
@@ -374,7 +443,6 @@
       "version": "1.0.10",
       "resolved": "https://registry.npmjs.org/argparse/-/argparse-1.0.10.tgz",
       "integrity": "sha512-o5Roy6tNG4SL/FOkCAN6RzjiakZS25RLYFrcMttJqbdd8BWrnA+fGz57iN5Pb06pvBGvl5gQ0B48dJlslXvoTg==",
-      "dev": true,
       "requires": {
         "sprintf-js": "~1.0.2"
       }
@@ -1537,6 +1605,77 @@
       "integrity": "sha1-aN/1++YMUes3cl6p4+0xDcwed24=",
       "dev": true
     },
+    "boxen": {
+      "version": "3.2.0",
+      "resolved": "https://registry.npmjs.org/boxen/-/boxen-3.2.0.tgz",
+      "integrity": "sha512-cU4J/+NodM3IHdSL2yN8bqYqnmlBTidDR4RC7nJs61ZmtGz8VZzM3HLQX0zY5mrSmPtR3xWwsq2jOUQqFZN8+A==",
+      "requires": {
+        "ansi-align": "^3.0.0",
+        "camelcase": "^5.3.1",
+        "chalk": "^2.4.2",
+        "cli-boxes": "^2.2.0",
+        "string-width": "^3.0.0",
+        "term-size": "^1.2.0",
+        "type-fest": "^0.3.0",
+        "widest-line": "^2.0.0"
+      },
+      "dependencies": {
+        "ansi-regex": {
+          "version": "4.1.0",
+          "resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-4.1.0.tgz",
+          "integrity": "sha512-1apePfXM1UOSqw0o9IiFAovVz9M5S1Dg+4TrDwfMewQ6p/rmMueb7tWZjQ1rx4Loy1ArBggoqGpfqqdI4rondg=="
+        },
+        "ansi-styles": {
+          "version": "3.2.1",
+          "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-3.2.1.tgz",
+          "integrity": "sha512-VT0ZI6kZRdTh8YyJw3SMbYm/u+NqfsAxEpWO0Pf9sq8/e94WxxOpPKx9FR1FlyCtOVDNOQ+8ntlqFxiRc+r5qA==",
+          "requires": {
+            "color-convert": "^1.9.0"
+          }
+        },
+        "camelcase": {
+          "version": "5.3.1",
+          "resolved": "https://registry.npmjs.org/camelcase/-/camelcase-5.3.1.tgz",
+          "integrity": "sha512-L28STB170nwWS63UjtlEOE3dldQApaJXZkOI1uMFfzf3rRuPegHaHesyee+YxQ+W6SvRDQV6UrdOdRiR153wJg=="
+        },
+        "chalk": {
+          "version": "2.4.2",
+          "resolved": "https://registry.npmjs.org/chalk/-/chalk-2.4.2.tgz",
+          "integrity": "sha512-Mti+f9lpJNcwF4tWV8/OrTTtF1gZi+f8FqlyAdouralcFWFQWF2+NgCHShjkCb+IFBLq9buZwE1xckQU4peSuQ==",
+          "requires": {
+            "ansi-styles": "^3.2.1",
+            "escape-string-regexp": "^1.0.5",
+            "supports-color": "^5.3.0"
+          }
+        },
+        "string-width": {
+          "version": "3.1.0",
+          "resolved": "https://registry.npmjs.org/string-width/-/string-width-3.1.0.tgz",
+          "integrity": "sha512-vafcv6KjVZKSgz06oM/H6GDBrAtz8vdhQakGjFIvNrHA6y3HCF1CInLy+QLq8dTJPQ1b+KDUqDFctkdRW44e1w==",
+          "requires": {
+            "emoji-regex": "^7.0.1",
+            "is-fullwidth-code-point": "^2.0.0",
+            "strip-ansi": "^5.1.0"
+          }
+        },
+        "strip-ansi": {
+          "version": "5.2.0",
+          "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-5.2.0.tgz",
+          "integrity": "sha512-DuRs1gKbBqsMKIZlrffwlug8MHkcnpjs5VPmL1PAh+mA30U0DTotfDZ0d2UUsXpPmPmMMJ6W773MaA3J+lbiWA==",
+          "requires": {
+            "ansi-regex": "^4.1.0"
+          }
+        },
+        "supports-color": {
+          "version": "5.5.0",
+          "resolved": "https://registry.npmjs.org/supports-color/-/supports-color-5.5.0.tgz",
+          "integrity": "sha512-QjVjwdXIt408MIiAqCX4oUKsgU2EqAGzs2Ppkm4aQYbjm+ZEWEcW4SfFNTr4uMNZma0ey4f5lgLrkB0aX0QMow==",
+          "requires": {
+            "has-flag": "^3.0.0"
+          }
+        }
+      }
+    },
     "brace-expansion": {
       "version": "1.1.11",
       "resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-1.1.11.tgz",
@@ -1675,8 +1814,7 @@
     "builtin-modules": {
       "version": "1.1.1",
       "resolved": "https://registry.npmjs.org/builtin-modules/-/builtin-modules-1.1.1.tgz",
-      "integrity": "sha1-Jw8HbFpywC9bZaR9+Uxf46J4iS8=",
-      "dev": true
+      "integrity": "sha1-Jw8HbFpywC9bZaR9+Uxf46J4iS8="
     },
     "builtin-status-codes": {
       "version": "3.0.0",
@@ -1684,6 +1822,11 @@
       "integrity": "sha1-hZgoeOIbmOHGZCXgPQF0eI9Wnug=",
       "dev": true
     },
+    "builtins": {
+      "version": "1.0.3",
+      "resolved": "https://registry.npmjs.org/builtins/-/builtins-1.0.3.tgz",
+      "integrity": "sha1-y5T662HIaWRR2zZTThQi+U8K7og="
+    },
     "bytes": {
       "version": "3.0.0",
       "resolved": "https://registry.npmjs.org/bytes/-/bytes-3.0.0.tgz",
@@ -1744,6 +1887,40 @@
         }
       }
     },
+    "cacheable-request": {
+      "version": "6.1.0",
+      "resolved": "https://registry.npmjs.org/cacheable-request/-/cacheable-request-6.1.0.tgz",
+      "integrity": "sha512-Oj3cAGPCqOZX7Rz64Uny2GYAZNliQSqfbePrgAQ1wKAihYmCUnraBtJtKcGR4xz7wF+LoJC+ssFZvv5BgF9Igg==",
+      "requires": {
+        "clone-response": "^1.0.2",
+        "get-stream": "^5.1.0",
+        "http-cache-semantics": "^4.0.0",
+        "keyv": "^3.0.0",
+        "lowercase-keys": "^2.0.0",
+        "normalize-url": "^4.1.0",
+        "responselike": "^1.0.2"
+      },
+      "dependencies": {
+        "get-stream": {
+          "version": "5.1.0",
+          "resolved": "https://registry.npmjs.org/get-stream/-/get-stream-5.1.0.tgz",
+          "integrity": "sha512-EXr1FOzrzTfGeL0gQdeFEvOMm2mzMOglyiOXSTpPC+iAjAKftbr3jpCMWynogwYnM+eSj9sHGc6wjIcDvYiygw==",
+          "requires": {
+            "pump": "^3.0.0"
+          }
+        },
+        "http-cache-semantics": {
+          "version": "4.0.3",
+          "resolved": "https://registry.npmjs.org/http-cache-semantics/-/http-cache-semantics-4.0.3.tgz",
+          "integrity": "sha512-TcIMG3qeVLgDr1TEd2XvHaTnMPwYQUQMIBLy+5pLSDKYFc7UIqj39w8EGzZkaxoLv/l2K8HaI0t5AVA+YYgUew=="
+        },
+        "lowercase-keys": {
+          "version": "2.0.0",
+          "resolved": "https://registry.npmjs.org/lowercase-keys/-/lowercase-keys-2.0.0.tgz",
+          "integrity": "sha512-tqNXrS78oMOE73NMxK4EMLQsQowWf8jKooH9g7xPavRT706R6bkQJ6DY2Te7QukaZsulxa30wQ7bk0pm4XiHmA=="
+        }
+      }
+    },
     "caller-path": {
       "version": "0.1.0",
       "resolved": "https://registry.npmjs.org/caller-path/-/caller-path-0.1.0.tgz",
@@ -1795,7 +1972,6 @@
       "version": "1.1.3",
       "resolved": "http://registry.npmjs.org/chalk/-/chalk-1.1.3.tgz",
       "integrity": "sha1-qBFcVeSnAv5NFQq9OHKCKn4J/Jg=",
-      "dev": true,
       "requires": {
         "ansi-styles": "^2.2.1",
         "escape-string-regexp": "^1.0.2",
@@ -1833,6 +2009,16 @@
       "resolved": "https://registry.npmjs.org/chownr/-/chownr-1.1.1.tgz",
       "integrity": "sha512-j38EvO5+LHX84jlo6h4UzmOwi0UgW61WRyPtJz4qaadK5eY3BTS5TY/S1Stc3Uk2lIM6TPevAlULiEJwie860g=="
     },
+    "ci-info": {
+      "version": "2.0.0",
+      "resolved": "https://registry.npmjs.org/ci-info/-/ci-info-2.0.0.tgz",
+      "integrity": "sha512-5tK7EtrZ0N+OLFMthtqOj4fI2Jeb88C4CAZPu25LDVUgXJ0A3Js4PMGqrn0JU1W0Mh1/Z8wZzYPxqUrXeBboCQ=="
+    },
+    "cint": {
+      "version": "8.2.1",
+      "resolved": "https://registry.npmjs.org/cint/-/cint-8.2.1.tgz",
+      "integrity": "sha1-cDhrG0jidz0NYxZqVa/5TvRFahI="
+    },
     "cipher-base": {
       "version": "1.0.4",
       "resolved": "https://registry.npmjs.org/cipher-base/-/cipher-base-1.0.4.tgz",
@@ -1895,6 +2081,11 @@
         "rimraf": "^2.6.1"
       }
     },
+    "cli-boxes": {
+      "version": "2.2.0",
+      "resolved": "https://registry.npmjs.org/cli-boxes/-/cli-boxes-2.2.0.tgz",
+      "integrity": "sha512-gpaBrMAizVEANOpfZp/EEUixTXDyGt7DFzdK5hU+UbWt/J0lB0w20ncZj59Z9a93xHb9u12zF5BS6i9RKbtg4w=="
+    },
     "cli-cursor": {
       "version": "2.1.0",
       "resolved": "https://registry.npmjs.org/cli-cursor/-/cli-cursor-2.1.0.tgz",
@@ -1904,6 +2095,14 @@
         "restore-cursor": "^2.0.0"
       }
     },
+    "cli-table": {
+      "version": "0.3.1",
+      "resolved": "https://registry.npmjs.org/cli-table/-/cli-table-0.3.1.tgz",
+      "integrity": "sha1-9TsFJmqLGguTSz0IIebi3FkUriM=",
+      "requires": {
+        "colors": "1.0.3"
+      }
+    },
     "cli-width": {
       "version": "2.2.0",
       "resolved": "https://registry.npmjs.org/cli-width/-/cli-width-2.2.0.tgz",
@@ -1929,6 +2128,14 @@
         }
       }
     },
+    "clone-response": {
+      "version": "1.0.2",
+      "resolved": "https://registry.npmjs.org/clone-response/-/clone-response-1.0.2.tgz",
+      "integrity": "sha1-0dyXOSAxTfZ/vrlCI7TuNQI56Ws=",
+      "requires": {
+        "mimic-response": "^1.0.0"
+      }
+    },
     "co": {
       "version": "4.6.0",
       "resolved": "https://registry.npmjs.org/co/-/co-4.6.0.tgz",
@@ -1955,7 +2162,6 @@
       "version": "1.9.3",
       "resolved": "https://registry.npmjs.org/color-convert/-/color-convert-1.9.3.tgz",
       "integrity": "sha512-QfAUtd+vFdAtFQcC8CCyYt1fYWxSqAiK2cSD6zDB8N3cpsEBAvRxp9zOGg6G/SHHJYAT88/az/IuDGALsNVbGg==",
-      "dev": true,
       "requires": {
         "color-name": "1.1.3"
       }
@@ -1963,8 +2169,12 @@
     "color-name": {
       "version": "1.1.3",
       "resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.3.tgz",
-      "integrity": "sha1-p9BVi9icQveV3UIyj3QIMcpTvCU=",
-      "dev": true
+      "integrity": "sha1-p9BVi9icQveV3UIyj3QIMcpTvCU="
+    },
+    "colors": {
+      "version": "1.0.3",
+      "resolved": "https://registry.npmjs.org/colors/-/colors-1.0.3.tgz",
+      "integrity": "sha1-BDP0TYCWgP3rYO0mDxsMJi6CpAs="
     },
     "commander": {
       "version": "2.19.0",
@@ -2036,6 +2246,19 @@
         "typedarray": "^0.0.6"
       }
     },
+    "configstore": {
+      "version": "4.0.0",
+      "resolved": "https://registry.npmjs.org/configstore/-/configstore-4.0.0.tgz",
+      "integrity": "sha512-CmquAXFBocrzaSM8mtGPMM/HiWmyIpr4CcJl/rgY2uCObZ/S7cKU0silxslqJejl+t/T9HS8E0PUNQD81JGUEQ==",
+      "requires": {
+        "dot-prop": "^4.1.0",
+        "graceful-fs": "^4.1.2",
+        "make-dir": "^1.0.0",
+        "unique-string": "^1.0.0",
+        "write-file-atomic": "^2.0.0",
+        "xdg-basedir": "^3.0.0"
+      }
+    },
     "connect-history-api-fallback": {
       "version": "1.6.0",
       "resolved": "https://registry.npmjs.org/connect-history-api-fallback/-/connect-history-api-fallback-1.6.0.tgz",
@@ -2182,7 +2405,6 @@
       "version": "5.1.0",
       "resolved": "https://registry.npmjs.org/cross-spawn/-/cross-spawn-5.1.0.tgz",
       "integrity": "sha1-6L0O/uWPz/b4+UUQoKVUu/ojVEk=",
-      "dev": true,
       "requires": {
         "lru-cache": "^4.0.1",
         "shebang-command": "^1.2.0",
@@ -2208,6 +2430,11 @@
         "randomfill": "^1.0.3"
       }
     },
+    "crypto-random-string": {
+      "version": "1.0.0",
+      "resolved": "https://registry.npmjs.org/crypto-random-string/-/crypto-random-string-1.0.0.tgz",
+      "integrity": "sha1-ojD2T1aDEOFJgAmUB5DsmVRbyn4="
+    },
     "css-loader": {
       "version": "1.0.1",
       "resolved": "https://registry.npmjs.org/css-loader/-/css-loader-1.0.1.tgz",
@@ -2385,12 +2612,25 @@
       "integrity": "sha1-6zkTMzRYd1y4TNGh+uBiEGu4dUU=",
       "dev": true
     },
+    "decompress-response": {
+      "version": "3.3.0",
+      "resolved": "https://registry.npmjs.org/decompress-response/-/decompress-response-3.3.0.tgz",
+      "integrity": "sha1-gKTdMjdIOEv6JICDYirt7Jgq3/M=",
+      "requires": {
+        "mimic-response": "^1.0.0"
+      }
+    },
     "deep-equal": {
       "version": "1.0.1",
       "resolved": "https://registry.npmjs.org/deep-equal/-/deep-equal-1.0.1.tgz",
       "integrity": "sha1-9dJgKStmDghO/0zbyfCK0yR0SLU=",
       "dev": true
     },
+    "deep-extend": {
+      "version": "0.6.0",
+      "resolved": "https://registry.npmjs.org/deep-extend/-/deep-extend-0.6.0.tgz",
+      "integrity": "sha512-LOHxIOaPYdHlJRtCQfDIVZtfw/ufM8+rVj649RIHzcm/vGwQRXFt6OPqIFWsm2XEMrNIEtWR64sY1LEKD2vAOA=="
+    },
     "deep-is": {
       "version": "0.1.3",
       "resolved": "https://registry.npmjs.org/deep-is/-/deep-is-0.1.3.tgz",
@@ -2437,6 +2677,11 @@
         }
       }
     },
+    "defer-to-connect": {
+      "version": "1.0.2",
+      "resolved": "https://registry.npmjs.org/defer-to-connect/-/defer-to-connect-1.0.2.tgz",
+      "integrity": "sha512-k09hcQcTDY+cwgiwa6PYKLm3jlagNzQ+RSvhjzESOGOx+MNOuXkxTfEvPrO1IOQ81tArCFYQgi631clB70RpQw=="
+    },
     "define-properties": {
       "version": "1.1.3",
       "resolved": "https://registry.npmjs.org/define-properties/-/define-properties-1.1.3.tgz",
@@ -2658,11 +2903,24 @@
         "domelementtype": "1"
       }
     },
+    "dot-prop": {
+      "version": "4.2.0",
+      "resolved": "https://registry.npmjs.org/dot-prop/-/dot-prop-4.2.0.tgz",
+      "integrity": "sha512-tUMXrxlExSW6U2EXiiKGSBVdYgtV8qlHL+C10TsW4PURY/ic+eaysnSkwB4kA/mBlCyy/IKDJ+Lc3wbWeaXtuQ==",
+      "requires": {
+        "is-obj": "^1.0.0"
+      }
+    },
     "dotenv": {
       "version": "6.2.0",
       "resolved": "https://registry.npmjs.org/dotenv/-/dotenv-6.2.0.tgz",
       "integrity": "sha512-HygQCKUBSFl8wKQZBSemMywRWcEDNidvNbjGVyZu3nbZ8qq9ubiPoGLMdRDpfSrpkkm9BXYFkpKxxFX38o/76w=="
     },
+    "duplexer3": {
+      "version": "0.1.4",
+      "resolved": "https://registry.npmjs.org/duplexer3/-/duplexer3-0.1.4.tgz",
+      "integrity": "sha1-7gHdHKwO08vH/b6jfcCo8c4ALOI="
+    },
     "duplexify": {
       "version": "3.6.1",
       "resolved": "https://registry.npmjs.org/duplexify/-/duplexify-3.6.1.tgz",
@@ -2701,6 +2959,11 @@
         "minimalistic-crypto-utils": "^1.0.0"
       }
     },
+    "emoji-regex": {
+      "version": "7.0.3",
+      "resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-7.0.3.tgz",
+      "integrity": "sha512-CwBLREIQ7LvYFB0WyRvwhq5N5qPhc6PMjD6bYggFlI5YyDgl+0vxq5VHbMOFqLg7hfWzmu8T5Z1QofhmTIhItA=="
+    },
     "emojis-list": {
       "version": "2.1.0",
       "resolved": "https://registry.npmjs.org/emojis-list/-/emojis-list-2.1.0.tgz",
@@ -2712,6 +2975,14 @@
       "integrity": "sha1-rT/0yG7C0CkyL1oCw6mmBslbP1k=",
       "dev": true
     },
+    "encoding": {
+      "version": "0.1.12",
+      "resolved": "https://registry.npmjs.org/encoding/-/encoding-0.1.12.tgz",
+      "integrity": "sha1-U4tm8+5izRq1HsMjgp0flIDHS+s=",
+      "requires": {
+        "iconv-lite": "~0.4.13"
+      }
+    },
     "end-of-stream": {
       "version": "1.4.1",
       "resolved": "https://registry.npmjs.org/end-of-stream/-/end-of-stream-1.4.1.tgz",
@@ -2746,6 +3017,11 @@
       "integrity": "sha512-f2LZMYl1Fzu7YSBKg+RoROelpOaNrcGmE9AZubeDfrCEia483oW4MI4VyFd5VNHIgQ/7qm1I0wUHK1eJnn2y2w==",
       "dev": true
     },
+    "err-code": {
+      "version": "1.1.2",
+      "resolved": "https://registry.npmjs.org/err-code/-/err-code-1.1.2.tgz",
+      "integrity": "sha1-BuARbTAo9q70gGhJ6w6mp0iuaWA="
+    },
     "errno": {
       "version": "0.1.7",
       "resolved": "https://registry.npmjs.org/errno/-/errno-0.1.7.tgz",
@@ -2824,6 +3100,19 @@
         "event-emitter": "~0.3.5"
       }
     },
+    "es6-promise": {
+      "version": "4.2.8",
+      "resolved": "https://registry.npmjs.org/es6-promise/-/es6-promise-4.2.8.tgz",
+      "integrity": "sha512-HJDGx5daxeIvxdBxvG2cb9g4tEvwIk3i8+nhX0yGrYmZUzbkdg8QbDevheDB8gd0//uPj4c1EQua8Q+MViT0/w=="
+    },
+    "es6-promisify": {
+      "version": "5.0.0",
+      "resolved": "https://registry.npmjs.org/es6-promisify/-/es6-promisify-5.0.0.tgz",
+      "integrity": "sha1-UQnWLz5W6pZ8S2NQWu8IKRyKUgM=",
+      "requires": {
+        "es6-promise": "^4.0.3"
+      }
+    },
     "es6-set": {
       "version": "0.1.5",
       "resolved": "https://registry.npmjs.org/es6-set/-/es6-set-0.1.5.tgz",
@@ -2868,8 +3157,7 @@
     "escape-string-regexp": {
       "version": "1.0.5",
       "resolved": "https://registry.npmjs.org/escape-string-regexp/-/escape-string-regexp-1.0.5.tgz",
-      "integrity": "sha1-G2HAViGQqN/2rjuyzwIAyhMLhtQ=",
-      "dev": true
+      "integrity": "sha1-G2HAViGQqN/2rjuyzwIAyhMLhtQ="
     },
     "escope": {
       "version": "3.6.0",
@@ -3400,8 +3688,7 @@
     "esprima": {
       "version": "4.0.1",
       "resolved": "https://registry.npmjs.org/esprima/-/esprima-4.0.1.tgz",
-      "integrity": "sha512-eGuFFw7Upda+g4p+QHvnW0RyTX/SVeJBDM/gCtMARO0cLuT2HcEKnTPvhjV6aGeqrCB/sbNop0Kszm0jsaWU4A==",
-      "dev": true
+      "integrity": "sha512-eGuFFw7Upda+g4p+QHvnW0RyTX/SVeJBDM/gCtMARO0cLuT2HcEKnTPvhjV6aGeqrCB/sbNop0Kszm0jsaWU4A=="
     },
     "esquery": {
       "version": "1.0.1",
@@ -3488,7 +3775,6 @@
       "version": "0.7.0",
       "resolved": "https://registry.npmjs.org/execa/-/execa-0.7.0.tgz",
       "integrity": "sha1-lEvs00zEHuMqY6n68nrVpl/Fl3c=",
-      "dev": true,
       "requires": {
         "cross-spawn": "^5.0.1",
         "get-stream": "^3.0.0",
@@ -3628,6 +3914,11 @@
       "resolved": "https://registry.npmjs.org/fast-deep-equal/-/fast-deep-equal-2.0.1.tgz",
       "integrity": "sha1-ewUhjd+WZ79/Nwv3/bLLFf3Qqkk="
     },
+    "fast-diff": {
+      "version": "1.2.0",
+      "resolved": "https://registry.npmjs.org/fast-diff/-/fast-diff-1.2.0.tgz",
+      "integrity": "sha512-xJuoT5+L99XlZ8twedaRf6Ax2TgQVxvgZOYoPKqZufmJib0tL2tegPBOZb1pVNgIhlqDlA0eO0c3wBvQcmzx4w=="
+    },
     "fast-json-stable-stringify": {
       "version": "2.0.0",
       "resolved": "https://registry.npmjs.org/fast-json-stable-stringify/-/fast-json-stable-stringify-2.0.0.tgz",
@@ -3827,6 +4118,14 @@
         "readable-stream": "^2.0.0"
       }
     },
+    "fs-minipass": {
+      "version": "1.2.7",
+      "resolved": "https://registry.npmjs.org/fs-minipass/-/fs-minipass-1.2.7.tgz",
+      "integrity": "sha512-GWSSJGFy4e9GUeCcbIkED+bgAoFyj7XF1mV8rma3QW4NIqX9Kyx79N/PF61H5udOV3aY1IaMLs6pGbH71nlCTA==",
+      "requires": {
+        "minipass": "^2.6.0"
+      }
+    },
     "fs-readdir-recursive": {
       "version": "1.1.0",
       "resolved": "https://registry.npmjs.org/fs-readdir-recursive/-/fs-readdir-recursive-1.1.0.tgz",
@@ -4427,17 +4726,26 @@
         "is-property": "^1.0.0"
       }
     },
+    "genfun": {
+      "version": "5.0.0",
+      "resolved": "https://registry.npmjs.org/genfun/-/genfun-5.0.0.tgz",
+      "integrity": "sha512-KGDOARWVga7+rnB3z9Sd2Letx515owfk0hSxHGuqjANb1M+x2bGZGqHLiozPsYMdM2OubeMni/Hpwmjq6qIUhA=="
+    },
     "get-caller-file": {
       "version": "1.0.3",
       "resolved": "https://registry.npmjs.org/get-caller-file/-/get-caller-file-1.0.3.tgz",
       "integrity": "sha512-3t6rVToeoZfYSGd8YoLFR2DJkiQrIiUrGcjvFX2mDw3bn6k2OtwHN0TNCLbBO+w8qTvimhDkv+LSscbJY1vE6w==",
       "dev": true
     },
+    "get-stdin": {
+      "version": "7.0.0",
+      "resolved": "https://registry.npmjs.org/get-stdin/-/get-stdin-7.0.0.tgz",
+      "integrity": "sha512-zRKcywvrXlXsA0v0i9Io4KDRaAw7+a1ZpjRwl9Wox8PFlVCCHra7E9c4kqXCoCM9nR5tBkaTTZRBoCm60bFqTQ=="
+    },
     "get-stream": {
       "version": "3.0.0",
       "resolved": "http://registry.npmjs.org/get-stream/-/get-stream-3.0.0.tgz",
-      "integrity": "sha1-jpQ9E1jcN1VQVOy+LtsFqhdO3hQ=",
-      "dev": true
+      "integrity": "sha1-jpQ9E1jcN1VQVOy+LtsFqhdO3hQ="
     },
     "get-value": {
       "version": "2.0.6",
@@ -4488,6 +4796,14 @@
         "process": "~0.5.1"
       }
     },
+    "global-dirs": {
+      "version": "0.1.1",
+      "resolved": "https://registry.npmjs.org/global-dirs/-/global-dirs-0.1.1.tgz",
+      "integrity": "sha1-sxnA3UYH81PzvpzKTHL8FIxJ9EU=",
+      "requires": {
+        "ini": "^1.3.4"
+      }
+    },
     "global-modules-path": {
       "version": "2.3.1",
       "resolved": "https://registry.npmjs.org/global-modules-path/-/global-modules-path-2.3.1.tgz",
@@ -4521,6 +4837,34 @@
         }
       }
     },
+    "got": {
+      "version": "9.6.0",
+      "resolved": "https://registry.npmjs.org/got/-/got-9.6.0.tgz",
+      "integrity": "sha512-R7eWptXuGYxwijs0eV+v3o6+XH1IqVK8dJOEecQfTmkncw9AV4dcw/Dhxi8MdlqPthxxpZyizMzyg8RTmEsG+Q==",
+      "requires": {
+        "@sindresorhus/is": "^0.14.0",
+        "@szmarczak/http-timer": "^1.1.2",
+        "cacheable-request": "^6.0.0",
+        "decompress-response": "^3.3.0",
+        "duplexer3": "^0.1.4",
+        "get-stream": "^4.1.0",
+        "lowercase-keys": "^1.0.1",
+        "mimic-response": "^1.0.1",
+        "p-cancelable": "^1.0.0",
+        "to-readable-stream": "^1.0.0",
+        "url-parse-lax": "^3.0.0"
+      },
+      "dependencies": {
+        "get-stream": {
+          "version": "4.1.0",
+          "resolved": "https://registry.npmjs.org/get-stream/-/get-stream-4.1.0.tgz",
+          "integrity": "sha512-GMat4EJ5161kIy2HevLlr4luNjBgvmj413KaQA7jt4V8B4RDsfpHk7WQ9GVqfYyyx8OS/L66Kox+rJRNklLK7w==",
+          "requires": {
+            "pump": "^3.0.0"
+          }
+        }
+      }
+    },
     "graceful-fs": {
       "version": "4.1.15",
       "resolved": "https://registry.npmjs.org/graceful-fs/-/graceful-fs-4.1.15.tgz",
@@ -4545,7 +4889,6 @@
       "version": "2.0.0",
       "resolved": "https://registry.npmjs.org/has-ansi/-/has-ansi-2.0.0.tgz",
       "integrity": "sha1-NPUEnOHs3ysGSa8+8k5F7TVBbZE=",
-      "dev": true,
       "requires": {
         "ansi-regex": "^2.0.0"
       }
@@ -4553,8 +4896,7 @@
     "has-flag": {
       "version": "3.0.0",
       "resolved": "https://registry.npmjs.org/has-flag/-/has-flag-3.0.0.tgz",
-      "integrity": "sha1-tdRU3CGZriJWmfNGfloH87lVuv0=",
-      "dev": true
+      "integrity": "sha1-tdRU3CGZriJWmfNGfloH87lVuv0="
     },
     "has-symbols": {
       "version": "1.0.0",
@@ -4622,6 +4964,11 @@
         }
       }
     },
+    "has-yarn": {
+      "version": "2.1.0",
+      "resolved": "https://registry.npmjs.org/has-yarn/-/has-yarn-2.1.0.tgz",
+      "integrity": "sha512-UqBRqi4ju7T+TqGNdqAO0PaSVGsDGJUBQvk9eUWNGRY1CFGDzYhLWoM7JQEemnlvVcv/YEmc2wNW8BC24EnUsw=="
+    },
     "hash-base": {
       "version": "3.0.4",
       "resolved": "https://registry.npmjs.org/hash-base/-/hash-base-3.0.4.tgz",
@@ -4689,8 +5036,7 @@
     "hosted-git-info": {
       "version": "2.7.1",
       "resolved": "https://registry.npmjs.org/hosted-git-info/-/hosted-git-info-2.7.1.tgz",
-      "integrity": "sha512-7T/BxH19zbcCTa8XkMlbK5lTo1WtgkFi3GvdWEyNuc4Vex7/9Dqbnpsf4JMydcfj9HCg4zUWFTL3Za6lapg5/w==",
-      "dev": true
+      "integrity": "sha512-7T/BxH19zbcCTa8XkMlbK5lTo1WtgkFi3GvdWEyNuc4Vex7/9Dqbnpsf4JMydcfj9HCg4zUWFTL3Za6lapg5/w=="
     },
     "hpack.js": {
       "version": "2.1.6",
@@ -4814,6 +5160,11 @@
         }
       }
     },
+    "http-cache-semantics": {
+      "version": "3.8.1",
+      "resolved": "https://registry.npmjs.org/http-cache-semantics/-/http-cache-semantics-3.8.1.tgz",
+      "integrity": "sha512-5ai2iksyV8ZXmnZhHH4rWPoxxistEexSi5936zIQ1bnNTW5VnA85B6P/VpXiRM017IgRvb2kKo1a//y+0wSp3w=="
+    },
     "http-deceiver": {
       "version": "1.2.7",
       "resolved": "https://registry.npmjs.org/http-deceiver/-/http-deceiver-1.2.7.tgz",
@@ -4849,6 +5200,25 @@
         "requires-port": "^1.0.0"
       }
     },
+    "http-proxy-agent": {
+      "version": "2.1.0",
+      "resolved": "https://registry.npmjs.org/http-proxy-agent/-/http-proxy-agent-2.1.0.tgz",
+      "integrity": "sha512-qwHbBLV7WviBl0rQsOzH6o5lwyOIvwp/BdFnvVxXORldu5TmjFfjzBcWUWS5kWAZhmv+JtiDhSuQCp4sBfbIgg==",
+      "requires": {
+        "agent-base": "4",
+        "debug": "3.1.0"
+      },
+      "dependencies": {
+        "debug": {
+          "version": "3.1.0",
+          "resolved": "https://registry.npmjs.org/debug/-/debug-3.1.0.tgz",
+          "integrity": "sha512-OX8XqP7/1a9cqkxYw2yXss15f26NKWBpDXQd0/uK/KPqdQhxbPa994hnzjcE2VqQpDslf55723cKPUOGSmMY3g==",
+          "requires": {
+            "ms": "2.0.0"
+          }
+        }
+      }
+    },
     "http-proxy-middleware": {
       "version": "0.18.0",
       "resolved": "http://registry.npmjs.org/http-proxy-middleware/-/http-proxy-middleware-0.18.0.tgz",
@@ -5158,11 +5528,42 @@
       "integrity": "sha1-7AbBDgo0wPL68Zn3/X/Hj//QPHM=",
       "dev": true
     },
+    "https-proxy-agent": {
+      "version": "2.2.2",
+      "resolved": "https://registry.npmjs.org/https-proxy-agent/-/https-proxy-agent-2.2.2.tgz",
+      "integrity": "sha512-c8Ndjc9Bkpfx/vCJueCPy0jlP4ccCCSNDp8xwCZzPjKJUm+B+u9WX2x98Qx4n1PiMNTWo3D7KK5ifNV/yJyRzg==",
+      "requires": {
+        "agent-base": "^4.3.0",
+        "debug": "^3.1.0"
+      },
+      "dependencies": {
+        "debug": {
+          "version": "3.2.6",
+          "resolved": "https://registry.npmjs.org/debug/-/debug-3.2.6.tgz",
+          "integrity": "sha512-mel+jf7nrtEl5Pn1Qx46zARXKDpBbvzezse7p7LqINmdoIk8PYP5SySaxEmYv6TZ0JyEKA1hsCId6DIhgITtWQ==",
+          "requires": {
+            "ms": "^2.1.1"
+          }
+        },
+        "ms": {
+          "version": "2.1.2",
+          "resolved": "https://registry.npmjs.org/ms/-/ms-2.1.2.tgz",
+          "integrity": "sha512-sGkPx+VjMtmA6MX27oA4FBFELFCZZ4S4XqeGOXCv68tT+jb3vk/RyaKWP0PTKyWtmLSM0b+adUTEvbs1PEaH2w=="
+        }
+      }
+    },
+    "humanize-ms": {
+      "version": "1.2.1",
+      "resolved": "https://registry.npmjs.org/humanize-ms/-/humanize-ms-1.2.1.tgz",
+      "integrity": "sha1-xG4xWaKT9riW2ikxbYtv6Lt5u+0=",
+      "requires": {
+        "ms": "^2.0.0"
+      }
+    },
     "iconv-lite": {
       "version": "0.4.24",
       "resolved": "https://registry.npmjs.org/iconv-lite/-/iconv-lite-0.4.24.tgz",
       "integrity": "sha512-v3MXnZAcvnywkTUEZomIActle7RXXeedOR31wwl7VlyoXO4Qi9arvSenNQWne1TcRwhCL1HwLI21bEqdpj8/rA==",
-      "dev": true,
       "requires": {
         "safer-buffer": ">= 2.1.2 < 3"
       }
@@ -5198,6 +5599,14 @@
       "integrity": "sha512-Pgs951kaMm5GXP7MOvxERINe3gsaVjUWFm+UZPSq9xYriQAksyhg0csnS0KXSNRD5NmNdapXEpjxG49+AKh/ug==",
       "dev": true
     },
+    "ignore-walk": {
+      "version": "3.0.3",
+      "resolved": "https://registry.npmjs.org/ignore-walk/-/ignore-walk-3.0.3.tgz",
+      "integrity": "sha512-m7o6xuOaT1aqheYHKf8W6J5pYH85ZI9w077erOzLje3JsB1gkafkAhHHY19dqjulgIZHFm32Cp5uNZgcQqdJKw==",
+      "requires": {
+        "minimatch": "^3.0.4"
+      }
+    },
     "immutability-helper": {
       "version": "2.9.0",
       "resolved": "https://registry.npmjs.org/immutability-helper/-/immutability-helper-2.9.0.tgz",
@@ -5211,6 +5620,11 @@
       "resolved": "https://registry.npmjs.org/immutable/-/immutable-3.8.2.tgz",
       "integrity": "sha1-wkOZUUVbs5kT2vKBN28VMOEErfM="
     },
+    "import-lazy": {
+      "version": "2.1.0",
+      "resolved": "https://registry.npmjs.org/import-lazy/-/import-lazy-2.1.0.tgz",
+      "integrity": "sha1-BWmOPUXIjo1+nZLLBYTnfwlvPkM="
+    },
     "import-local": {
       "version": "2.0.0",
       "resolved": "https://registry.npmjs.org/import-local/-/import-local-2.0.0.tgz",
@@ -5232,6 +5646,11 @@
       "integrity": "sha1-gtwzbSMrkGIXnQWrMpOmYFn9Q10=",
       "dev": true
     },
+    "infer-owner": {
+      "version": "1.0.4",
+      "resolved": "https://registry.npmjs.org/infer-owner/-/infer-owner-1.0.4.tgz",
+      "integrity": "sha512-IClj+Xz94+d7irH5qRyfJonOdfTzuDaifE6ZPWfx0N0+/ATZCbuTPq2prFl526urkQd90WyUKIh1DfBQ2hMz9A=="
+    },
     "inflight": {
       "version": "1.0.6",
       "resolved": "https://registry.npmjs.org/inflight/-/inflight-1.0.6.tgz",
@@ -5246,6 +5665,11 @@
       "resolved": "https://registry.npmjs.org/inherits/-/inherits-2.0.3.tgz",
       "integrity": "sha1-Yzwsg+PaQqUC9SRmAiSA9CCCYd4="
     },
+    "ini": {
+      "version": "1.3.5",
+      "resolved": "https://registry.npmjs.org/ini/-/ini-1.3.5.tgz",
+      "integrity": "sha512-RZY5huIKCMRWDUqZlEi72f/lmXKMvuszcMBduliQ3nnWbx9X/ZBQO7DijMEYS9EhHBb2qacRUMtC7svLwe0lcw=="
+    },
     "inquirer": {
       "version": "3.3.0",
       "resolved": "https://registry.npmjs.org/inquirer/-/inquirer-3.3.0.tgz",
@@ -5347,8 +5771,7 @@
     "ip": {
       "version": "1.1.5",
       "resolved": "https://registry.npmjs.org/ip/-/ip-1.1.5.tgz",
-      "integrity": "sha1-vd7XARQpCCjAoDnnLvJfWq7ENUo=",
-      "dev": true
+      "integrity": "sha1-vd7XARQpCCjAoDnnLvJfWq7ENUo="
     },
     "ip-regex": {
       "version": "2.1.0",
@@ -5395,7 +5818,6 @@
       "version": "1.0.0",
       "resolved": "http://registry.npmjs.org/is-builtin-module/-/is-builtin-module-1.0.0.tgz",
       "integrity": "sha1-VAVy0096wxGfj3bDDLwbHgN6/74=",
-      "dev": true,
       "requires": {
         "builtin-modules": "^1.0.0"
       }
@@ -5406,6 +5828,14 @@
       "integrity": "sha512-r5p9sxJjYnArLjObpjA4xu5EKI3CuKHkJXMhT7kwbpUyIFD1n5PMAsoPvWnvtZiNz7LjkYDRZhd7FlI0eMijEA==",
       "dev": true
     },
+    "is-ci": {
+      "version": "2.0.0",
+      "resolved": "https://registry.npmjs.org/is-ci/-/is-ci-2.0.0.tgz",
+      "integrity": "sha512-YfJT7rkpQB0updsdHLGWrvhBJfcfzNNawYDNIyQXJz0IViGf75O8EBPKSdvw2rF+LGCsX4FZ8tcr3b19LcZq4w==",
+      "requires": {
+        "ci-info": "^2.0.0"
+      }
+    },
     "is-data-descriptor": {
       "version": "0.1.4",
       "resolved": "http://registry.npmjs.org/is-data-descriptor/-/is-data-descriptor-0.1.4.tgz",
@@ -5481,8 +5911,7 @@
     "is-fullwidth-code-point": {
       "version": "2.0.0",
       "resolved": "https://registry.npmjs.org/is-fullwidth-code-point/-/is-fullwidth-code-point-2.0.0.tgz",
-      "integrity": "sha1-o7MKXE8ZkYMWeqq5O+764937ZU8=",
-      "dev": true
+      "integrity": "sha1-o7MKXE8ZkYMWeqq5O+764937ZU8="
     },
     "is-glob": {
       "version": "2.0.1",
@@ -5494,6 +5923,15 @@
         "is-extglob": "^1.0.0"
       }
     },
+    "is-installed-globally": {
+      "version": "0.1.0",
+      "resolved": "https://registry.npmjs.org/is-installed-globally/-/is-installed-globally-0.1.0.tgz",
+      "integrity": "sha1-Df2Y9akRFxbdU13aZJL2e/PSWoA=",
+      "requires": {
+        "global-dirs": "^0.1.0",
+        "is-path-inside": "^1.0.0"
+      }
+    },
     "is-my-ip-valid": {
       "version": "1.0.0",
       "resolved": "https://registry.npmjs.org/is-my-ip-valid/-/is-my-ip-valid-1.0.0.tgz",
@@ -5513,6 +5951,11 @@
         "xtend": "^4.0.0"
       }
     },
+    "is-npm": {
+      "version": "3.0.0",
+      "resolved": "https://registry.npmjs.org/is-npm/-/is-npm-3.0.0.tgz",
+      "integrity": "sha512-wsigDr1Kkschp2opC4G3yA6r9EgVA6NjRpWzIi9axXqeIaAATPRJc4uLujXe3Nd9uO8KoDyA4MD6aZSeXTADhA=="
+    },
     "is-number": {
       "version": "2.1.0",
       "resolved": "https://registry.npmjs.org/is-number/-/is-number-2.1.0.tgz",
@@ -5521,6 +5964,11 @@
         "kind-of": "^3.0.2"
       }
     },
+    "is-obj": {
+      "version": "1.0.1",
+      "resolved": "https://registry.npmjs.org/is-obj/-/is-obj-1.0.1.tgz",
+      "integrity": "sha1-PkcprB9f3gJc19g6iW2rn09n2w8="
+    },
     "is-path-cwd": {
       "version": "1.0.0",
       "resolved": "https://registry.npmjs.org/is-path-cwd/-/is-path-cwd-1.0.0.tgz",
@@ -5540,7 +5988,6 @@
       "version": "1.0.1",
       "resolved": "https://registry.npmjs.org/is-path-inside/-/is-path-inside-1.0.1.tgz",
       "integrity": "sha1-jvW33lBDej/cprToZe96pVy0gDY=",
-      "dev": true,
       "requires": {
         "path-is-inside": "^1.0.1"
       }
@@ -5604,8 +6051,7 @@
     "is-stream": {
       "version": "1.1.0",
       "resolved": "https://registry.npmjs.org/is-stream/-/is-stream-1.1.0.tgz",
-      "integrity": "sha1-EtSj3U5o4Lec6428hBc66A2RykQ=",
-      "dev": true
+      "integrity": "sha1-EtSj3U5o4Lec6428hBc66A2RykQ="
     },
     "is-symbol": {
       "version": "1.0.2",
@@ -5628,6 +6074,11 @@
       "integrity": "sha1-HxbkqiKwTRM2tmGIpmrzxgDDpm0=",
       "dev": true
     },
+    "is-yarn-global": {
+      "version": "0.3.0",
+      "resolved": "https://registry.npmjs.org/is-yarn-global/-/is-yarn-global-0.3.0.tgz",
+      "integrity": "sha512-VjSeb/lHmkoyd8ryPVIKvOCn4D1koMqY+vqyjjUfc3xyKtP4dYOxM44sZrnqQSzSds3xyOrUTLTC9LVCVgLngw=="
+    },
     "isarray": {
       "version": "1.0.0",
       "resolved": "https://registry.npmjs.org/isarray/-/isarray-1.0.0.tgz",
@@ -5636,8 +6087,7 @@
     "isexe": {
       "version": "2.0.0",
       "resolved": "https://registry.npmjs.org/isexe/-/isexe-2.0.0.tgz",
-      "integrity": "sha1-6PvzdNxVb/iUehDcsFctYz8s+hA=",
-      "dev": true
+      "integrity": "sha1-6PvzdNxVb/iUehDcsFctYz8s+hA="
     },
     "isobject": {
       "version": "2.1.0",
@@ -5647,6 +6097,11 @@
         "isarray": "1.0.0"
       }
     },
+    "jju": {
+      "version": "1.4.0",
+      "resolved": "https://registry.npmjs.org/jju/-/jju-1.4.0.tgz",
+      "integrity": "sha1-o6vicYryQaKykE+EpiWXDzia4yo="
+    },
     "jmespath": {
       "version": "0.15.0",
       "resolved": "https://registry.npmjs.org/jmespath/-/jmespath-0.15.0.tgz",
@@ -5661,7 +6116,6 @@
       "version": "3.13.0",
       "resolved": "https://registry.npmjs.org/js-yaml/-/js-yaml-3.13.0.tgz",
       "integrity": "sha512-pZZoSxcCYco+DIKBTimr67J6Hy+EYGZDY/HCWC+iAEA9h1ByhMXAIVUXMcMFpOCxQ/xjXmPI2MkDL5HRm5eFrQ==",
-      "dev": true,
       "requires": {
         "argparse": "^1.0.7",
         "esprima": "^4.0.0"
@@ -5673,16 +6127,34 @@
       "integrity": "sha1-RsP+yMGJKxKwgz25vHYiF226s0s=",
       "dev": true
     },
+    "json-buffer": {
+      "version": "3.0.0",
+      "resolved": "https://registry.npmjs.org/json-buffer/-/json-buffer-3.0.0.tgz",
+      "integrity": "sha1-Wx85evx11ne96Lz8Dkfh+aPZqJg="
+    },
     "json-loader": {
       "version": "0.5.7",
       "resolved": "https://registry.npmjs.org/json-loader/-/json-loader-0.5.7.tgz",
       "integrity": "sha512-QLPs8Dj7lnf3e3QYS1zkCo+4ZwqOiF9d/nZnYozTISxXWCfNs9yuky5rJw4/W34s7POaNlbZmQGaB5NiXCbP4w==",
       "dev": true
     },
-    "json-schema-traverse": {
-      "version": "0.4.1",
-      "resolved": "https://registry.npmjs.org/json-schema-traverse/-/json-schema-traverse-0.4.1.tgz",
-      "integrity": "sha512-xbbCH5dCYU5T8LcEhhuh7HJ88HXuW3qsI3Y0zOZFKfZEHcpWiHU/Jxzk629Brsab/mMiHQti9wMP+845RPe3Vg=="
+    "json-parse-better-errors": {
+      "version": "1.0.2",
+      "resolved": "https://registry.npmjs.org/json-parse-better-errors/-/json-parse-better-errors-1.0.2.tgz",
+      "integrity": "sha512-mrqyZKfX5EhL7hvqcV6WG1yYjnjeuYDzDhhcAAUrq8Po85NBQBJP+ZDUT75qZQ98IkUoBqdkExkukOU7Ts2wrw=="
+    },
+    "json-parse-helpfulerror": {
+      "version": "1.0.3",
+      "resolved": "https://registry.npmjs.org/json-parse-helpfulerror/-/json-parse-helpfulerror-1.0.3.tgz",
+      "integrity": "sha1-E/FM4C7tTpgSl7ZOueO5MuLdE9w=",
+      "requires": {
+        "jju": "^1.1.0"
+      }
+    },
+    "json-schema-traverse": {
+      "version": "0.4.1",
+      "resolved": "https://registry.npmjs.org/json-schema-traverse/-/json-schema-traverse-0.4.1.tgz",
+      "integrity": "sha512-xbbCH5dCYU5T8LcEhhuh7HJ88HXuW3qsI3Y0zOZFKfZEHcpWiHU/Jxzk629Brsab/mMiHQti9wMP+845RPe3Vg=="
     },
     "json-stable-stringify": {
       "version": "1.0.1",
@@ -5716,6 +6188,11 @@
       "integrity": "sha1-LHS27kHZPKUbe1qu6PUDYx0lKnM=",
       "dev": true
     },
+    "jsonparse": {
+      "version": "1.3.1",
+      "resolved": "https://registry.npmjs.org/jsonparse/-/jsonparse-1.3.1.tgz",
+      "integrity": "sha1-P02uSpH6wxX3EGL4UhzCOfE2YoA="
+    },
     "jsonpointer": {
       "version": "4.0.1",
       "resolved": "https://registry.npmjs.org/jsonpointer/-/jsonpointer-4.0.1.tgz",
@@ -5731,6 +6208,14 @@
         "array-includes": "^3.0.3"
       }
     },
+    "keyv": {
+      "version": "3.1.0",
+      "resolved": "https://registry.npmjs.org/keyv/-/keyv-3.1.0.tgz",
+      "integrity": "sha512-9ykJ/46SN/9KPM/sichzQ7OvXyGDYKGTaDlKMGCAlg2UK8KRy4jb0d8sFc+0Tt0YYnThq8X2RZgCg74RPxgcVA==",
+      "requires": {
+        "json-buffer": "3.0.0"
+      }
+    },
     "killable": {
       "version": "1.0.1",
       "resolved": "https://registry.npmjs.org/killable/-/killable-1.0.1.tgz",
@@ -5745,6 +6230,19 @@
         "is-buffer": "^1.1.5"
       }
     },
+    "kleur": {
+      "version": "3.0.3",
+      "resolved": "https://registry.npmjs.org/kleur/-/kleur-3.0.3.tgz",
+      "integrity": "sha512-eTIzlVOSUR+JxdDFepEYcBMtZ9Qqdef+rnzWdRZuMbOywu5tO2w2N7rqjoANZ5k9vywhL6Br1VRjUIgTQx4E8w=="
+    },
+    "latest-version": {
+      "version": "5.1.0",
+      "resolved": "https://registry.npmjs.org/latest-version/-/latest-version-5.1.0.tgz",
+      "integrity": "sha512-weT+r0kTkRQdCdYCNtkMwWXQTMEswKrFBkm4ckQOMVhhqhIMI1UT2hMj+1iigIhgSZm5gTmrRXBNoGUgaTY1xA==",
+      "requires": {
+        "package-json": "^6.3.0"
+      }
+    },
     "lazy-cache": {
       "version": "1.0.4",
       "resolved": "https://registry.npmjs.org/lazy-cache/-/lazy-cache-1.0.4.tgz",
@@ -5783,6 +6281,16 @@
         "type-check": "~0.3.2"
       }
     },
+    "libnpmconfig": {
+      "version": "1.2.1",
+      "resolved": "https://registry.npmjs.org/libnpmconfig/-/libnpmconfig-1.2.1.tgz",
+      "integrity": "sha512-9esX8rTQAHqarx6qeZqmGQKBNZR5OIbl/Ayr0qQDy3oXja2iFVQQI81R6GZ2a02bSNZ9p3YOGX1O6HHCb1X7kA==",
+      "requires": {
+        "figgy-pudding": "^3.5.1",
+        "find-up": "^3.0.0",
+        "ini": "^1.3.5"
+      }
+    },
     "load-json-file": {
       "version": "2.0.0",
       "resolved": "http://registry.npmjs.org/load-json-file/-/load-json-file-2.0.0.tgz",
@@ -5831,8 +6339,7 @@
     "lodash": {
       "version": "4.17.11",
       "resolved": "https://registry.npmjs.org/lodash/-/lodash-4.17.11.tgz",
-      "integrity": "sha512-cQKh8igo5QUhZ7lg38DYWAxMvjSAKG0A8wGSVimP07SIUEK2UO+arSRKbRZWtelMtN5V0Hkwh5ryOto/SshYIg==",
-      "dev": true
+      "integrity": "sha512-cQKh8igo5QUhZ7lg38DYWAxMvjSAKG0A8wGSVimP07SIUEK2UO+arSRKbRZWtelMtN5V0Hkwh5ryOto/SshYIg=="
     },
     "lodash.debounce": {
       "version": "4.0.8",
@@ -5881,6 +6388,11 @@
       "integrity": "sha1-miyr0bno4K6ZOkv31YdcOcQujqw=",
       "dev": true
     },
+    "lowercase-keys": {
+      "version": "1.0.1",
+      "resolved": "https://registry.npmjs.org/lowercase-keys/-/lowercase-keys-1.0.1.tgz",
+      "integrity": "sha512-G2Lj61tXDnVFFOi8VZds+SoQjtQC3dgokKdDG2mTm1tx4m50NUHBOZSBwQQHyy0V12A0JTG4icfZQH+xPyh8VA=="
+    },
     "lru-cache": {
       "version": "4.1.5",
       "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-4.1.5.tgz",
@@ -5898,6 +6410,87 @@
         "pify": "^3.0.0"
       }
     },
+    "make-fetch-happen": {
+      "version": "5.0.0",
+      "resolved": "https://registry.npmjs.org/make-fetch-happen/-/make-fetch-happen-5.0.0.tgz",
+      "integrity": "sha512-nFr/vpL1Jc60etMVKeaLOqfGjMMb3tAHFVJWxHOFCFS04Zmd7kGlMxo0l1tzfhoQje0/UPnd0X8OeGUiXXnfPA==",
+      "requires": {
+        "agentkeepalive": "^3.4.1",
+        "cacache": "^12.0.0",
+        "http-cache-semantics": "^3.8.1",
+        "http-proxy-agent": "^2.1.0",
+        "https-proxy-agent": "^2.2.1",
+        "lru-cache": "^5.1.1",
+        "mississippi": "^3.0.0",
+        "node-fetch-npm": "^2.0.2",
+        "promise-retry": "^1.1.1",
+        "socks-proxy-agent": "^4.0.0",
+        "ssri": "^6.0.0"
+      },
+      "dependencies": {
+        "bluebird": {
+          "version": "3.7.0",
+          "resolved": "https://registry.npmjs.org/bluebird/-/bluebird-3.7.0.tgz",
+          "integrity": "sha512-aBQ1FxIa7kSWCcmKHlcHFlT2jt6J/l4FzC7KcPELkOJOsPOb/bccdhmIrKDfXhwFrmc7vDoDrrepFvGqjyXGJg=="
+        },
+        "cacache": {
+          "version": "12.0.3",
+          "resolved": "https://registry.npmjs.org/cacache/-/cacache-12.0.3.tgz",
+          "integrity": "sha512-kqdmfXEGFepesTuROHMs3MpFLWrPkSSpRqOw80RCflZXy/khxaArvFrQ7uJxSUduzAufc6G0g1VUCOZXxWavPw==",
+          "requires": {
+            "bluebird": "^3.5.5",
+            "chownr": "^1.1.1",
+            "figgy-pudding": "^3.5.1",
+            "glob": "^7.1.4",
+            "graceful-fs": "^4.1.15",
+            "infer-owner": "^1.0.3",
+            "lru-cache": "^5.1.1",
+            "mississippi": "^3.0.0",
+            "mkdirp": "^0.5.1",
+            "move-concurrently": "^1.0.1",
+            "promise-inflight": "^1.0.1",
+            "rimraf": "^2.6.3",
+            "ssri": "^6.0.1",
+            "unique-filename": "^1.1.1",
+            "y18n": "^4.0.0"
+          }
+        },
+        "glob": {
+          "version": "7.1.4",
+          "resolved": "https://registry.npmjs.org/glob/-/glob-7.1.4.tgz",
+          "integrity": "sha512-hkLPepehmnKk41pUGm3sYxoFs/umurYfYJCerbXEyFIWcAzvpipAgVkBqqT9RBKMGjnq6kMuyYwha6csxbiM1A==",
+          "requires": {
+            "fs.realpath": "^1.0.0",
+            "inflight": "^1.0.4",
+            "inherits": "2",
+            "minimatch": "^3.0.4",
+            "once": "^1.3.0",
+            "path-is-absolute": "^1.0.0"
+          }
+        },
+        "lru-cache": {
+          "version": "5.1.1",
+          "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-5.1.1.tgz",
+          "integrity": "sha512-KpNARQA3Iwv+jTA0utUVVbrh+Jlrr1Fv0e56GGzAFOXN7dk/FviaDW8LHmK52DlcH4WP2n6gI8vN1aesBFgo9w==",
+          "requires": {
+            "yallist": "^3.0.2"
+          }
+        },
+        "rimraf": {
+          "version": "2.7.1",
+          "resolved": "https://registry.npmjs.org/rimraf/-/rimraf-2.7.1.tgz",
+          "integrity": "sha512-uWjbaKIK3T1OSVptzX7Nl6PvQ3qAGtKEtVRjRuazjfL3Bx5eI409VZSqgND+4UNnmzLVdPj9FqFJNPqBZFve4w==",
+          "requires": {
+            "glob": "^7.1.3"
+          }
+        },
+        "yallist": {
+          "version": "3.1.1",
+          "resolved": "https://registry.npmjs.org/yallist/-/yallist-3.1.1.tgz",
+          "integrity": "sha512-a4UGQaWPH59mOXUYnAG2ewncQS4i4F43Tv3JoAM+s2VDAmS9NsK8GpDMLrCHPksFT7h3K6TOoUNn2pb7RoXx4g=="
+        }
+      }
+    },
     "map-age-cleaner": {
       "version": "0.1.3",
       "resolved": "https://registry.npmjs.org/map-age-cleaner/-/map-age-cleaner-0.1.3.tgz",
@@ -6036,6 +6629,11 @@
       "integrity": "sha512-jf84uxzwiuiIVKiOLpfYk7N46TSy8ubTonmneY9vrpHNAnp0QBt2BxWV9dO3/j+BoVAb+a5G6YDPW3M5HOdMWQ==",
       "dev": true
     },
+    "mimic-response": {
+      "version": "1.0.1",
+      "resolved": "https://registry.npmjs.org/mimic-response/-/mimic-response-1.0.1.tgz",
+      "integrity": "sha512-j5EctnkH7amfV/q5Hgmoal1g2QHFJRraOtmx0JpIqkxhBhI/lJSl1nMpQ45hVarwNETOoWEimndZ4QK0RHxuxQ=="
+    },
     "min-document": {
       "version": "2.19.0",
       "resolved": "https://registry.npmjs.org/min-document/-/min-document-2.19.0.tgz",
@@ -6069,6 +6667,30 @@
       "resolved": "http://registry.npmjs.org/minimist/-/minimist-0.0.8.tgz",
       "integrity": "sha1-hX/Kv8M5fSYluCKCYuhqp6ARsF0="
     },
+    "minipass": {
+      "version": "2.9.0",
+      "resolved": "https://registry.npmjs.org/minipass/-/minipass-2.9.0.tgz",
+      "integrity": "sha512-wxfUjg9WebH+CUDX/CdbRlh5SmfZiy/hpkxaRI16Y9W56Pa75sWgd/rvFilSgrauD9NyFymP/+JFV3KwzIsJeg==",
+      "requires": {
+        "safe-buffer": "^5.1.2",
+        "yallist": "^3.0.0"
+      },
+      "dependencies": {
+        "yallist": {
+          "version": "3.1.1",
+          "resolved": "https://registry.npmjs.org/yallist/-/yallist-3.1.1.tgz",
+          "integrity": "sha512-a4UGQaWPH59mOXUYnAG2ewncQS4i4F43Tv3JoAM+s2VDAmS9NsK8GpDMLrCHPksFT7h3K6TOoUNn2pb7RoXx4g=="
+        }
+      }
+    },
+    "minizlib": {
+      "version": "1.3.3",
+      "resolved": "https://registry.npmjs.org/minizlib/-/minizlib-1.3.3.tgz",
+      "integrity": "sha512-6ZYMOEnmVsdCeTJVE0W9ZD+pVnE8h9Hma/iOwwRDsdQoePpoX56/8B6z3P9VNwppJuBKNRuFDRNRqRWexT9G9Q==",
+      "requires": {
+        "minipass": "^2.9.0"
+      }
+    },
     "mississippi": {
       "version": "3.0.0",
       "resolved": "https://registry.npmjs.org/mississippi/-/mississippi-3.0.0.tgz",
@@ -6129,8 +6751,7 @@
     "ms": {
       "version": "2.0.0",
       "resolved": "https://registry.npmjs.org/ms/-/ms-2.0.0.tgz",
-      "integrity": "sha1-VgiurfwAvmwpAd9fmGF4jeDVl8g=",
-      "dev": true
+      "integrity": "sha1-VgiurfwAvmwpAd9fmGF4jeDVl8g="
     },
     "multicast-dns": {
       "version": "6.2.3",
@@ -6217,6 +6838,11 @@
       "resolved": "https://registry.npmjs.org/neo-async/-/neo-async-2.6.0.tgz",
       "integrity": "sha512-MFh0d/Wa7vkKO3Y3LlacqAEeHK0mckVqzDieUKTT+KGxi+zIpeVsFxymkIiRpbpDziHc290Xr9A1O4Om7otoRA=="
     },
+    "nested-error-stacks": {
+      "version": "2.0.1",
+      "resolved": "https://registry.npmjs.org/nested-error-stacks/-/nested-error-stacks-2.0.1.tgz",
+      "integrity": "sha512-SrQrok4CATudVzBS7coSz26QRSmlK9TzzoFbeKfcPBUFPjcQM9Rqvr/DlJkOrwI/0KcgvMub1n1g5Jt9EgRn4A=="
+    },
     "next-tick": {
       "version": "1.0.0",
       "resolved": "http://registry.npmjs.org/next-tick/-/next-tick-1.0.0.tgz",
@@ -6238,11 +6864,30 @@
         "lower-case": "^1.1.1"
       }
     },
+    "node-alias": {
+      "version": "1.0.4",
+      "resolved": "https://registry.npmjs.org/node-alias/-/node-alias-1.0.4.tgz",
+      "integrity": "sha1-HxuRa1a56iQcATX5fO1pQPVW8pI=",
+      "requires": {
+        "chalk": "^1.1.1",
+        "lodash": "^4.2.0"
+      }
+    },
     "node-fetch": {
       "version": "2.2.0",
       "resolved": "https://registry.npmjs.org/node-fetch/-/node-fetch-2.2.0.tgz",
       "integrity": "sha512-OayFWziIxiHY8bCUyLX6sTpDH8Jsbp4FfYd1j1f7vZyfgkcOnAyM4oQR16f8a0s7Gl/viMGRey8eScYk4V4EZA=="
     },
+    "node-fetch-npm": {
+      "version": "2.0.2",
+      "resolved": "https://registry.npmjs.org/node-fetch-npm/-/node-fetch-npm-2.0.2.tgz",
+      "integrity": "sha512-nJIxm1QmAj4v3nfCvEeCrYSoVwXyxLnaPBK5W1W5DGEJwjlKuC2VEUycGw5oxk+4zZahRrB84PUJJgEmhFTDFw==",
+      "requires": {
+        "encoding": "^0.1.11",
+        "json-parse-better-errors": "^1.0.0",
+        "safe-buffer": "^5.1.1"
+      }
+    },
     "node-forge": {
       "version": "0.7.5",
       "resolved": "https://registry.npmjs.org/node-forge/-/node-forge-0.7.5.tgz",
@@ -6302,7 +6947,6 @@
       "version": "2.4.0",
       "resolved": "https://registry.npmjs.org/normalize-package-data/-/normalize-package-data-2.4.0.tgz",
       "integrity": "sha512-9jjUFbTPfEy3R/ad/2oNbKtW9Hgovl5O1FvFWKkKblNXoN/Oou6+9+KKohPK13Yc3/TyunyWhJp6gvRNR/PPAw==",
-      "dev": true,
       "requires": {
         "hosted-git-info": "^2.1.4",
         "is-builtin-module": "^1.0.0",
@@ -6319,11 +6963,192 @@
         "remove-trailing-separator": "^1.0.1"
       }
     },
+    "normalize-url": {
+      "version": "4.5.0",
+      "resolved": "https://registry.npmjs.org/normalize-url/-/normalize-url-4.5.0.tgz",
+      "integrity": "sha512-2s47yzUxdexf1OhyRi4Em83iQk0aPvwTddtFz4hnSSw9dCEsLEGf6SwIO8ss/19S9iBb5sJaOuTvTGDeZI00BQ=="
+    },
+    "npm-bundled": {
+      "version": "1.0.6",
+      "resolved": "https://registry.npmjs.org/npm-bundled/-/npm-bundled-1.0.6.tgz",
+      "integrity": "sha512-8/JCaftHwbd//k6y2rEWp6k1wxVfpFzB6t1p825+cUb7Ym2XQfhwIC5KwhrvzZRJu+LtDE585zVaS32+CGtf0g=="
+    },
+    "npm-check-updates": {
+      "version": "3.1.24",
+      "resolved": "https://registry.npmjs.org/npm-check-updates/-/npm-check-updates-3.1.24.tgz",
+      "integrity": "sha512-8CxlXsSPo8RCAHHqycxU9gcDcSkoBI0I2bkh37HJry2VJhqGxeVnEVq8vtFcigzIRrUgbSOyKgSm+jvu3ookMw==",
+      "requires": {
+        "chalk": "^2.4.2",
+        "cint": "^8.2.1",
+        "cli-table": "^0.3.1",
+        "commander": "^3.0.2",
+        "fast-diff": "^1.2.0",
+        "find-up": "4.1.0",
+        "get-stdin": "^7.0.0",
+        "json-parse-helpfulerror": "^1.0.3",
+        "libnpmconfig": "^1.2.1",
+        "lodash": "^4.17.15",
+        "node-alias": "^1.0.4",
+        "pacote": "^9.5.8",
+        "progress": "^2.0.3",
+        "prompts": "^2.2.1",
+        "rc-config-loader": "^2.0.4",
+        "requireg": "^0.2.2",
+        "semver": "^6.3.0",
+        "semver-utils": "^1.1.4",
+        "spawn-please": "^0.3.0",
+        "update-notifier": "^3.0.1"
+      },
+      "dependencies": {
+        "ansi-styles": {
+          "version": "3.2.1",
+          "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-3.2.1.tgz",
+          "integrity": "sha512-VT0ZI6kZRdTh8YyJw3SMbYm/u+NqfsAxEpWO0Pf9sq8/e94WxxOpPKx9FR1FlyCtOVDNOQ+8ntlqFxiRc+r5qA==",
+          "requires": {
+            "color-convert": "^1.9.0"
+          }
+        },
+        "chalk": {
+          "version": "2.4.2",
+          "resolved": "https://registry.npmjs.org/chalk/-/chalk-2.4.2.tgz",
+          "integrity": "sha512-Mti+f9lpJNcwF4tWV8/OrTTtF1gZi+f8FqlyAdouralcFWFQWF2+NgCHShjkCb+IFBLq9buZwE1xckQU4peSuQ==",
+          "requires": {
+            "ansi-styles": "^3.2.1",
+            "escape-string-regexp": "^1.0.5",
+            "supports-color": "^5.3.0"
+          }
+        },
+        "commander": {
+          "version": "3.0.2",
+          "resolved": "https://registry.npmjs.org/commander/-/commander-3.0.2.tgz",
+          "integrity": "sha512-Gar0ASD4BDyKC4hl4DwHqDrmvjoxWKZigVnAbn5H1owvm4CxCPdb0HQDehwNYMJpla5+M2tPmPARzhtYuwpHow=="
+        },
+        "find-up": {
+          "version": "4.1.0",
+          "resolved": "https://registry.npmjs.org/find-up/-/find-up-4.1.0.tgz",
+          "integrity": "sha512-PpOwAdQ/YlXQ2vj8a3h8IipDuYRi3wceVQQGYWxNINccq40Anw7BlsEXCMbt1Zt+OLA6Fq9suIpIWD0OsnISlw==",
+          "requires": {
+            "locate-path": "^5.0.0",
+            "path-exists": "^4.0.0"
+          }
+        },
+        "locate-path": {
+          "version": "5.0.0",
+          "resolved": "https://registry.npmjs.org/locate-path/-/locate-path-5.0.0.tgz",
+          "integrity": "sha512-t7hw9pI+WvuwNJXwk5zVHpyhIqzg2qTlklJOf0mVxGSbe3Fp2VieZcduNYjaLDoy6p9uGpQEGWG87WpMKlNq8g==",
+          "requires": {
+            "p-locate": "^4.1.0"
+          }
+        },
+        "lodash": {
+          "version": "4.17.15",
+          "resolved": "https://registry.npmjs.org/lodash/-/lodash-4.17.15.tgz",
+          "integrity": "sha512-8xOcRHvCjnocdS5cpwXQXVzmmh5e5+saE2QGoeQmbKmRS6J3VQppPOIt0MnmE+4xlZoumy0GPG0D0MVIQbNA1A=="
+        },
+        "p-limit": {
+          "version": "2.2.1",
+          "resolved": "https://registry.npmjs.org/p-limit/-/p-limit-2.2.1.tgz",
+          "integrity": "sha512-85Tk+90UCVWvbDavCLKPOLC9vvY8OwEX/RtKF+/1OADJMVlFfEHOiMTPVyxg7mk/dKa+ipdHm0OUkTvCpMTuwg==",
+          "requires": {
+            "p-try": "^2.0.0"
+          }
+        },
+        "p-locate": {
+          "version": "4.1.0",
+          "resolved": "https://registry.npmjs.org/p-locate/-/p-locate-4.1.0.tgz",
+          "integrity": "sha512-R79ZZ/0wAxKGu3oYMlz8jy/kbhsNrS7SKZ7PxEHBgJ5+F2mtFW2fK2cOtBh1cHYkQsbzFV7I+EoRKe6Yt0oK7A==",
+          "requires": {
+            "p-limit": "^2.2.0"
+          }
+        },
+        "path-exists": {
+          "version": "4.0.0",
+          "resolved": "https://registry.npmjs.org/path-exists/-/path-exists-4.0.0.tgz",
+          "integrity": "sha512-ak9Qy5Q7jYb2Wwcey5Fpvg2KoAc/ZIhLSLOSBmRmygPsGwkVVt0fZa0qrtMz+m6tJTAHfZQ8FnmB4MG4LWy7/w=="
+        },
+        "semver": {
+          "version": "6.3.0",
+          "resolved": "https://registry.npmjs.org/semver/-/semver-6.3.0.tgz",
+          "integrity": "sha512-b39TBaTSfV6yBrapU89p5fKekE2m/NwnDocOVruQFS1/veMgdzuPcnOM34M6CwxW8jH/lxEa5rBoDeUwu5HHTw=="
+        },
+        "supports-color": {
+          "version": "5.5.0",
+          "resolved": "https://registry.npmjs.org/supports-color/-/supports-color-5.5.0.tgz",
+          "integrity": "sha512-QjVjwdXIt408MIiAqCX4oUKsgU2EqAGzs2Ppkm4aQYbjm+ZEWEcW4SfFNTr4uMNZma0ey4f5lgLrkB0aX0QMow==",
+          "requires": {
+            "has-flag": "^3.0.0"
+          }
+        }
+      }
+    },
+    "npm-package-arg": {
+      "version": "6.1.1",
+      "resolved": "https://registry.npmjs.org/npm-package-arg/-/npm-package-arg-6.1.1.tgz",
+      "integrity": "sha512-qBpssaL3IOZWi5vEKUKW0cO7kzLeT+EQO9W8RsLOZf76KF9E/K9+wH0C7t06HXPpaH8WH5xF1MExLuCwbTqRUg==",
+      "requires": {
+        "hosted-git-info": "^2.7.1",
+        "osenv": "^0.1.5",
+        "semver": "^5.6.0",
+        "validate-npm-package-name": "^3.0.0"
+      }
+    },
+    "npm-packlist": {
+      "version": "1.4.6",
+      "resolved": "https://registry.npmjs.org/npm-packlist/-/npm-packlist-1.4.6.tgz",
+      "integrity": "sha512-u65uQdb+qwtGvEJh/DgQgW1Xg7sqeNbmxYyrvlNznaVTjV3E5P6F/EFjM+BVHXl7JJlsdG8A64M0XI8FI/IOlg==",
+      "requires": {
+        "ignore-walk": "^3.0.1",
+        "npm-bundled": "^1.0.1"
+      }
+    },
+    "npm-pick-manifest": {
+      "version": "3.0.2",
+      "resolved": "https://registry.npmjs.org/npm-pick-manifest/-/npm-pick-manifest-3.0.2.tgz",
+      "integrity": "sha512-wNprTNg+X5nf+tDi+hbjdHhM4bX+mKqv6XmPh7B5eG+QY9VARfQPfCEH013H5GqfNj6ee8Ij2fg8yk0mzps1Vw==",
+      "requires": {
+        "figgy-pudding": "^3.5.1",
+        "npm-package-arg": "^6.0.0",
+        "semver": "^5.4.1"
+      }
+    },
+    "npm-registry-fetch": {
+      "version": "4.0.2",
+      "resolved": "https://registry.npmjs.org/npm-registry-fetch/-/npm-registry-fetch-4.0.2.tgz",
+      "integrity": "sha512-Z0IFtPEozNdeZRPh3aHHxdG+ZRpzcbQaJLthsm3VhNf6DScicTFRHZzK82u8RsJUsUHkX+QH/zcB/5pmd20H4A==",
+      "requires": {
+        "JSONStream": "^1.3.4",
+        "bluebird": "^3.5.1",
+        "figgy-pudding": "^3.4.1",
+        "lru-cache": "^5.1.1",
+        "make-fetch-happen": "^5.0.0",
+        "npm-package-arg": "^6.1.0",
+        "safe-buffer": "^5.2.0"
+      },
+      "dependencies": {
+        "lru-cache": {
+          "version": "5.1.1",
+          "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-5.1.1.tgz",
+          "integrity": "sha512-KpNARQA3Iwv+jTA0utUVVbrh+Jlrr1Fv0e56GGzAFOXN7dk/FviaDW8LHmK52DlcH4WP2n6gI8vN1aesBFgo9w==",
+          "requires": {
+            "yallist": "^3.0.2"
+          }
+        },
+        "safe-buffer": {
+          "version": "5.2.0",
+          "resolved": "https://registry.npmjs.org/safe-buffer/-/safe-buffer-5.2.0.tgz",
+          "integrity": "sha512-fZEwUGbVl7kouZs1jCdMLdt95hdIv0ZeHg6L7qPeciMZhZ+/gdesW4wgTARkrFWEpspjEATAzUGPG8N2jJiwbg=="
+        },
+        "yallist": {
+          "version": "3.1.1",
+          "resolved": "https://registry.npmjs.org/yallist/-/yallist-3.1.1.tgz",
+          "integrity": "sha512-a4UGQaWPH59mOXUYnAG2ewncQS4i4F43Tv3JoAM+s2VDAmS9NsK8GpDMLrCHPksFT7h3K6TOoUNn2pb7RoXx4g=="
+        }
+      }
+    },
     "npm-run-path": {
       "version": "2.0.2",
       "resolved": "https://registry.npmjs.org/npm-run-path/-/npm-run-path-2.0.2.tgz",
       "integrity": "sha1-NakjLfo11wZ7TLLd8jV7GHFTbF8=",
-      "dev": true,
       "requires": {
         "path-key": "^2.0.0"
       }
@@ -6373,8 +7198,7 @@
     "object-keys": {
       "version": "1.0.12",
       "resolved": "https://registry.npmjs.org/object-keys/-/object-keys-1.0.12.tgz",
-      "integrity": "sha512-FTMyFUm2wBcGHnH2eXmz7tC6IwlqQZ6mVZ+6dm6vZ4IQIHjs6FdNsQBuKGPuUUUY6NfJw2PshC08Tn6LzLDOag==",
-      "dev": true
+      "integrity": "sha512-FTMyFUm2wBcGHnH2eXmz7tC6IwlqQZ6mVZ+6dm6vZ4IQIHjs6FdNsQBuKGPuUUUY6NfJw2PshC08Tn6LzLDOag=="
     },
     "object-visit": {
       "version": "1.0.1",
@@ -6534,8 +7358,7 @@
     "os-homedir": {
       "version": "1.0.2",
       "resolved": "http://registry.npmjs.org/os-homedir/-/os-homedir-1.0.2.tgz",
-      "integrity": "sha1-/7xJiDNuDoM94MFox+8VISGqf7M=",
-      "dev": true
+      "integrity": "sha1-/7xJiDNuDoM94MFox+8VISGqf7M="
     },
     "os-locale": {
       "version": "2.1.0",
@@ -6551,8 +7374,16 @@
     "os-tmpdir": {
       "version": "1.0.2",
       "resolved": "http://registry.npmjs.org/os-tmpdir/-/os-tmpdir-1.0.2.tgz",
-      "integrity": "sha1-u+Z0BseaqFxc/sdm/lc0VV36EnQ=",
-      "dev": true
+      "integrity": "sha1-u+Z0BseaqFxc/sdm/lc0VV36EnQ="
+    },
+    "osenv": {
+      "version": "0.1.5",
+      "resolved": "https://registry.npmjs.org/osenv/-/osenv-0.1.5.tgz",
+      "integrity": "sha512-0CWcCECdMVc2Rw3U5w9ZjqX6ga6ubk1xDVKxtBQPK7wis/0F2r9T6k4ydGYhecl7YUBxBVxhL5oisPsNxAPe2g==",
+      "requires": {
+        "os-homedir": "^1.0.0",
+        "os-tmpdir": "^1.0.0"
+      }
     },
     "output-file-sync": {
       "version": "1.1.2",
@@ -6565,6 +7396,11 @@
         "object-assign": "^4.1.0"
       }
     },
+    "p-cancelable": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/p-cancelable/-/p-cancelable-1.1.0.tgz",
+      "integrity": "sha512-s73XxOZ4zpt1edZYZzvhqFa6uvQc1vwUa0K0BdtIZgQMAJj9IbebH+JkgKZc9h+B05PKHLOTl4ajG1BmNrVZlw=="
+    },
     "p-defer": {
       "version": "1.0.0",
       "resolved": "https://registry.npmjs.org/p-defer/-/p-defer-1.0.0.tgz",
@@ -6574,8 +7410,7 @@
     "p-finally": {
       "version": "1.0.0",
       "resolved": "https://registry.npmjs.org/p-finally/-/p-finally-1.0.0.tgz",
-      "integrity": "sha1-P7z7FbiZpEEjs0ttzBi3JDNqLK4=",
-      "dev": true
+      "integrity": "sha1-P7z7FbiZpEEjs0ttzBi3JDNqLK4="
     },
     "p-is-promise": {
       "version": "1.1.0",
@@ -6610,6 +7445,138 @@
       "resolved": "https://registry.npmjs.org/p-try/-/p-try-2.0.0.tgz",
       "integrity": "sha512-hMp0onDKIajHfIkdRk3P4CdCmErkYAxxDtP3Wx/4nZ3aGlau2VKh3mZpcuFkH27WQkL/3WBCPOktzA9ZOAnMQQ=="
     },
+    "package-json": {
+      "version": "6.5.0",
+      "resolved": "https://registry.npmjs.org/package-json/-/package-json-6.5.0.tgz",
+      "integrity": "sha512-k3bdm2n25tkyxcjSKzB5x8kfVxlMdgsbPr0GkZcwHsLpba6cBjqCt1KlcChKEvxHIcTB1FVMuwoijZ26xex5MQ==",
+      "requires": {
+        "got": "^9.6.0",
+        "registry-auth-token": "^4.0.0",
+        "registry-url": "^5.0.0",
+        "semver": "^6.2.0"
+      },
+      "dependencies": {
+        "semver": {
+          "version": "6.3.0",
+          "resolved": "https://registry.npmjs.org/semver/-/semver-6.3.0.tgz",
+          "integrity": "sha512-b39TBaTSfV6yBrapU89p5fKekE2m/NwnDocOVruQFS1/veMgdzuPcnOM34M6CwxW8jH/lxEa5rBoDeUwu5HHTw=="
+        }
+      }
+    },
+    "pacote": {
+      "version": "9.5.8",
+      "resolved": "https://registry.npmjs.org/pacote/-/pacote-9.5.8.tgz",
+      "integrity": "sha512-0Tl8Oi/K0Lo4MZmH0/6IsT3gpGf9eEAznLXEQPKgPq7FscnbUOyopnVpwXlnQdIbCUaojWy1Wd7VMyqfVsRrIw==",
+      "requires": {
+        "bluebird": "^3.5.3",
+        "cacache": "^12.0.2",
+        "chownr": "^1.1.2",
+        "figgy-pudding": "^3.5.1",
+        "get-stream": "^4.1.0",
+        "glob": "^7.1.3",
+        "infer-owner": "^1.0.4",
+        "lru-cache": "^5.1.1",
+        "make-fetch-happen": "^5.0.0",
+        "minimatch": "^3.0.4",
+        "minipass": "^2.3.5",
+        "mississippi": "^3.0.0",
+        "mkdirp": "^0.5.1",
+        "normalize-package-data": "^2.4.0",
+        "npm-package-arg": "^6.1.0",
+        "npm-packlist": "^1.1.12",
+        "npm-pick-manifest": "^3.0.0",
+        "npm-registry-fetch": "^4.0.0",
+        "osenv": "^0.1.5",
+        "promise-inflight": "^1.0.1",
+        "promise-retry": "^1.1.1",
+        "protoduck": "^5.0.1",
+        "rimraf": "^2.6.2",
+        "safe-buffer": "^5.1.2",
+        "semver": "^5.6.0",
+        "ssri": "^6.0.1",
+        "tar": "^4.4.10",
+        "unique-filename": "^1.1.1",
+        "which": "^1.3.1"
+      },
+      "dependencies": {
+        "cacache": {
+          "version": "12.0.3",
+          "resolved": "https://registry.npmjs.org/cacache/-/cacache-12.0.3.tgz",
+          "integrity": "sha512-kqdmfXEGFepesTuROHMs3MpFLWrPkSSpRqOw80RCflZXy/khxaArvFrQ7uJxSUduzAufc6G0g1VUCOZXxWavPw==",
+          "requires": {
+            "bluebird": "^3.5.5",
+            "chownr": "^1.1.1",
+            "figgy-pudding": "^3.5.1",
+            "glob": "^7.1.4",
+            "graceful-fs": "^4.1.15",
+            "infer-owner": "^1.0.3",
+            "lru-cache": "^5.1.1",
+            "mississippi": "^3.0.0",
+            "mkdirp": "^0.5.1",
+            "move-concurrently": "^1.0.1",
+            "promise-inflight": "^1.0.1",
+            "rimraf": "^2.6.3",
+            "ssri": "^6.0.1",
+            "unique-filename": "^1.1.1",
+            "y18n": "^4.0.0"
+          },
+          "dependencies": {
+            "bluebird": {
+              "version": "3.7.0",
+              "resolved": "https://registry.npmjs.org/bluebird/-/bluebird-3.7.0.tgz",
+              "integrity": "sha512-aBQ1FxIa7kSWCcmKHlcHFlT2jt6J/l4FzC7KcPELkOJOsPOb/bccdhmIrKDfXhwFrmc7vDoDrrepFvGqjyXGJg=="
+            },
+            "glob": {
+              "version": "7.1.4",
+              "resolved": "https://registry.npmjs.org/glob/-/glob-7.1.4.tgz",
+              "integrity": "sha512-hkLPepehmnKk41pUGm3sYxoFs/umurYfYJCerbXEyFIWcAzvpipAgVkBqqT9RBKMGjnq6kMuyYwha6csxbiM1A==",
+              "requires": {
+                "fs.realpath": "^1.0.0",
+                "inflight": "^1.0.4",
+                "inherits": "2",
+                "minimatch": "^3.0.4",
+                "once": "^1.3.0",
+                "path-is-absolute": "^1.0.0"
+              }
+            },
+            "rimraf": {
+              "version": "2.7.1",
+              "resolved": "https://registry.npmjs.org/rimraf/-/rimraf-2.7.1.tgz",
+              "integrity": "sha512-uWjbaKIK3T1OSVptzX7Nl6PvQ3qAGtKEtVRjRuazjfL3Bx5eI409VZSqgND+4UNnmzLVdPj9FqFJNPqBZFve4w==",
+              "requires": {
+                "glob": "^7.1.3"
+              }
+            }
+          }
+        },
+        "chownr": {
+          "version": "1.1.3",
+          "resolved": "https://registry.npmjs.org/chownr/-/chownr-1.1.3.tgz",
+          "integrity": "sha512-i70fVHhmV3DtTl6nqvZOnIjbY0Pe4kAUjwHj8z0zAdgBtYrJyYwLKCCuRBQ5ppkyL0AkN7HKRnETdmdp1zqNXw=="
+        },
+        "get-stream": {
+          "version": "4.1.0",
+          "resolved": "https://registry.npmjs.org/get-stream/-/get-stream-4.1.0.tgz",
+          "integrity": "sha512-GMat4EJ5161kIy2HevLlr4luNjBgvmj413KaQA7jt4V8B4RDsfpHk7WQ9GVqfYyyx8OS/L66Kox+rJRNklLK7w==",
+          "requires": {
+            "pump": "^3.0.0"
+          }
+        },
+        "lru-cache": {
+          "version": "5.1.1",
+          "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-5.1.1.tgz",
+          "integrity": "sha512-KpNARQA3Iwv+jTA0utUVVbrh+Jlrr1Fv0e56GGzAFOXN7dk/FviaDW8LHmK52DlcH4WP2n6gI8vN1aesBFgo9w==",
+          "requires": {
+            "yallist": "^3.0.2"
+          }
+        },
+        "yallist": {
+          "version": "3.1.1",
+          "resolved": "https://registry.npmjs.org/yallist/-/yallist-3.1.1.tgz",
+          "integrity": "sha512-a4UGQaWPH59mOXUYnAG2ewncQS4i4F43Tv3JoAM+s2VDAmS9NsK8GpDMLrCHPksFT7h3K6TOoUNn2pb7RoXx4g=="
+        }
+      }
+    },
     "pako": {
       "version": "1.0.7",
       "resolved": "https://registry.npmjs.org/pako/-/pako-1.0.7.tgz",
@@ -6728,20 +7695,17 @@
     "path-is-inside": {
       "version": "1.0.2",
       "resolved": "https://registry.npmjs.org/path-is-inside/-/path-is-inside-1.0.2.tgz",
-      "integrity": "sha1-NlQX3t5EQw0cEa9hAn+s8HS9/FM=",
-      "dev": true
+      "integrity": "sha1-NlQX3t5EQw0cEa9hAn+s8HS9/FM="
     },
     "path-key": {
       "version": "2.0.1",
       "resolved": "https://registry.npmjs.org/path-key/-/path-key-2.0.1.tgz",
-      "integrity": "sha1-QRyttXTFoUDTpLGRDUDYDMn0C0A=",
-      "dev": true
+      "integrity": "sha1-QRyttXTFoUDTpLGRDUDYDMn0C0A="
     },
     "path-parse": {
       "version": "1.0.6",
       "resolved": "https://registry.npmjs.org/path-parse/-/path-parse-1.0.6.tgz",
-      "integrity": "sha512-GSmOT2EbHrINBf9SR7CDELwlJ8AENk3Qn7OikK4nFYAu3Ote2+JYNVvkpAEQm3/TLNEJFD/xZJjzyxg3KBWOzw==",
-      "dev": true
+      "integrity": "sha512-GSmOT2EbHrINBf9SR7CDELwlJ8AENk3Qn7OikK4nFYAu3Ote2+JYNVvkpAEQm3/TLNEJFD/xZJjzyxg3KBWOzw=="
     },
     "path-to-regexp": {
       "version": "0.1.7",
@@ -6971,6 +7935,11 @@
       "integrity": "sha1-IZMqVJ9eUv/ZqCf1cOBL5iqX2lQ=",
       "dev": true
     },
+    "prepend-http": {
+      "version": "2.0.0",
+      "resolved": "https://registry.npmjs.org/prepend-http/-/prepend-http-2.0.0.tgz",
+      "integrity": "sha1-6SQ0v6XqjBn0HN/UAddBo8gZ2Jc="
+    },
     "preserve": {
       "version": "0.2.0",
       "resolved": "https://registry.npmjs.org/preserve/-/preserve-0.2.0.tgz",
@@ -7012,14 +7981,31 @@
     "progress": {
       "version": "2.0.3",
       "resolved": "https://registry.npmjs.org/progress/-/progress-2.0.3.tgz",
-      "integrity": "sha512-7PiHtLll5LdnKIMw100I+8xJXR5gW2QwWYkT6iJva0bXitZKa/XMrSbdmg3r2Xnaidz9Qumd0VPaMrZlF9V9sA==",
-      "dev": true
+      "integrity": "sha512-7PiHtLll5LdnKIMw100I+8xJXR5gW2QwWYkT6iJva0bXitZKa/XMrSbdmg3r2Xnaidz9Qumd0VPaMrZlF9V9sA=="
     },
     "promise-inflight": {
       "version": "1.0.1",
       "resolved": "https://registry.npmjs.org/promise-inflight/-/promise-inflight-1.0.1.tgz",
       "integrity": "sha1-mEcocL8igTL8vdhoEputEsPAKeM="
     },
+    "promise-retry": {
+      "version": "1.1.1",
+      "resolved": "https://registry.npmjs.org/promise-retry/-/promise-retry-1.1.1.tgz",
+      "integrity": "sha1-ZznpaOMFHaIM5kl/srUPaRHfPW0=",
+      "requires": {
+        "err-code": "^1.0.0",
+        "retry": "^0.10.0"
+      }
+    },
+    "prompts": {
+      "version": "2.2.1",
+      "resolved": "https://registry.npmjs.org/prompts/-/prompts-2.2.1.tgz",
+      "integrity": "sha512-VObPvJiWPhpZI6C5m60XOzTfnYg/xc/an+r9VYymj9WJW3B/DIH+REzjpAACPf8brwPeP+7vz3bIim3S+AaMjw==",
+      "requires": {
+        "kleur": "^3.0.3",
+        "sisteransi": "^1.0.3"
+      }
+    },
     "prop-types": {
       "version": "15.6.2",
       "resolved": "https://registry.npmjs.org/prop-types/-/prop-types-15.6.2.tgz",
@@ -7029,6 +8015,14 @@
         "object-assign": "^4.1.1"
       }
     },
+    "protoduck": {
+      "version": "5.0.1",
+      "resolved": "https://registry.npmjs.org/protoduck/-/protoduck-5.0.1.tgz",
+      "integrity": "sha512-WxoCeDCoCBY55BMvj4cAEjdVUFGRWed9ZxPlqTKYyw1nDDTQ4pqmnIMAGfJlg7Dx35uB/M+PHJPTmGOvaCaPTg==",
+      "requires": {
+        "genfun": "^5.0.0"
+      }
+    },
     "proxy-addr": {
       "version": "2.0.4",
       "resolved": "https://registry.npmjs.org/proxy-addr/-/proxy-addr-2.0.4.tgz",
@@ -7198,6 +8192,66 @@
         }
       }
     },
+    "rc": {
+      "version": "1.2.8",
+      "resolved": "https://registry.npmjs.org/rc/-/rc-1.2.8.tgz",
+      "integrity": "sha512-y3bGgqKj3QBdxLbLkomlohkvsA8gdAiUQlSBJnBhfn+BPxg4bc62d8TcBW15wavDfgexCgccckhcZvywyQYPOw==",
+      "requires": {
+        "deep-extend": "^0.6.0",
+        "ini": "~1.3.0",
+        "minimist": "^1.2.0",
+        "strip-json-comments": "~2.0.1"
+      },
+      "dependencies": {
+        "minimist": {
+          "version": "1.2.0",
+          "resolved": "https://registry.npmjs.org/minimist/-/minimist-1.2.0.tgz",
+          "integrity": "sha1-o1AIsg9BOD7sH7kU9M1d95omQoQ="
+        }
+      }
+    },
+    "rc-config-loader": {
+      "version": "2.0.4",
+      "resolved": "https://registry.npmjs.org/rc-config-loader/-/rc-config-loader-2.0.4.tgz",
+      "integrity": "sha512-k06UzRbYDWgF4Mc/YrsZsmzSpDLuHoThJxep+vq5H09hiX8rbA5Ue/Ra0dwWm5MQvWYW4YBXgA186inNxuxidQ==",
+      "requires": {
+        "debug": "^4.1.1",
+        "js-yaml": "^3.12.0",
+        "json5": "^2.1.0",
+        "object-assign": "^4.1.0",
+        "object-keys": "^1.0.12",
+        "path-exists": "^3.0.0",
+        "require-from-string": "^2.0.2"
+      },
+      "dependencies": {
+        "debug": {
+          "version": "4.1.1",
+          "resolved": "https://registry.npmjs.org/debug/-/debug-4.1.1.tgz",
+          "integrity": "sha512-pYAIzeRo8J6KPEaJ0VWOh5Pzkbw/RetuzehGM7QRRX5he4fPHx2rdKMB256ehJCkX+XRQm16eZLqLNS8RSZXZw==",
+          "requires": {
+            "ms": "^2.1.1"
+          }
+        },
+        "json5": {
+          "version": "2.1.1",
+          "resolved": "https://registry.npmjs.org/json5/-/json5-2.1.1.tgz",
+          "integrity": "sha512-l+3HXD0GEI3huGq1njuqtzYK8OYJyXMkOLtQ53pjWh89tvWS2h6l+1zMkYWqlb57+SiQodKZyvMEFb2X+KrFhQ==",
+          "requires": {
+            "minimist": "^1.2.0"
+          }
+        },
+        "minimist": {
+          "version": "1.2.0",
+          "resolved": "https://registry.npmjs.org/minimist/-/minimist-1.2.0.tgz",
+          "integrity": "sha1-o1AIsg9BOD7sH7kU9M1d95omQoQ="
+        },
+        "ms": {
+          "version": "2.1.2",
+          "resolved": "https://registry.npmjs.org/ms/-/ms-2.1.2.tgz",
+          "integrity": "sha512-sGkPx+VjMtmA6MX27oA4FBFELFCZZ4S4XqeGOXCv68tT+jb3vk/RyaKWP0PTKyWtmLSM0b+adUTEvbs1PEaH2w=="
+        }
+      }
+    },
     "react": {
       "version": "16.6.3",
       "resolved": "https://registry.npmjs.org/react/-/react-16.6.3.tgz",
@@ -7886,6 +8940,23 @@
         "regjsparser": "^0.1.4"
       }
     },
+    "registry-auth-token": {
+      "version": "4.0.0",
+      "resolved": "https://registry.npmjs.org/registry-auth-token/-/registry-auth-token-4.0.0.tgz",
+      "integrity": "sha512-lpQkHxd9UL6tb3k/aHAVfnVtn+Bcs9ob5InuFLLEDqSqeq+AljB8GZW9xY0x7F+xYwEcjKe07nyoxzEYz6yvkw==",
+      "requires": {
+        "rc": "^1.2.8",
+        "safe-buffer": "^5.0.1"
+      }
+    },
+    "registry-url": {
+      "version": "5.1.0",
+      "resolved": "https://registry.npmjs.org/registry-url/-/registry-url-5.1.0.tgz",
+      "integrity": "sha512-8acYXXTI0AkQv6RAOjE3vOaIXZkT9wo4LOFbBKYQEEnnMNBpKqdUrI6S4NT0KPIo/WVvJ5tE/X5LF/TQUf0ekw==",
+      "requires": {
+        "rc": "^1.2.8"
+      }
+    },
     "regjsgen": {
       "version": "0.2.0",
       "resolved": "http://registry.npmjs.org/regjsgen/-/regjsgen-0.2.0.tgz",
@@ -7961,6 +9032,11 @@
       "integrity": "sha1-jGStX9MNqxyXbiNE/+f3kqam30I=",
       "dev": true
     },
+    "require-from-string": {
+      "version": "2.0.2",
+      "resolved": "https://registry.npmjs.org/require-from-string/-/require-from-string-2.0.2.tgz",
+      "integrity": "sha512-Xf0nWe6RseziFMu+Ap9biiUbmplq6S9/p+7w7YXP/JBHhrUDDUhwa+vANyubuqfZWTveU//DYVGsDG7RKL/vEw=="
+    },
     "require-main-filename": {
       "version": "1.0.1",
       "resolved": "https://registry.npmjs.org/require-main-filename/-/require-main-filename-1.0.1.tgz",
@@ -7977,6 +9053,26 @@
         "resolve-from": "^1.0.0"
       }
     },
+    "requireg": {
+      "version": "0.2.2",
+      "resolved": "https://registry.npmjs.org/requireg/-/requireg-0.2.2.tgz",
+      "integrity": "sha512-nYzyjnFcPNGR3lx9lwPPPnuQxv6JWEZd2Ci0u9opN7N5zUEPIhY/GbL3vMGOr2UXwEg9WwSyV9X9Y/kLFgPsOg==",
+      "requires": {
+        "nested-error-stacks": "~2.0.1",
+        "rc": "~1.2.7",
+        "resolve": "~1.7.1"
+      },
+      "dependencies": {
+        "resolve": {
+          "version": "1.7.1",
+          "resolved": "https://registry.npmjs.org/resolve/-/resolve-1.7.1.tgz",
+          "integrity": "sha512-c7rwLofp8g1U+h1KNyHL/jicrKg1Ek4q+Lr33AL65uZTinUZHe30D5HlyN5V9NW0JX1D5dXQ4jqW5l7Sy/kGfw==",
+          "requires": {
+            "path-parse": "^1.0.5"
+          }
+        }
+      }
+    },
     "requires-port": {
       "version": "1.0.0",
       "resolved": "https://registry.npmjs.org/requires-port/-/requires-port-1.0.0.tgz",
@@ -8026,6 +9122,14 @@
       "integrity": "sha1-LGN/53yJOv0qZj/iGqkIAGjiBSo=",
       "dev": true
     },
+    "responselike": {
+      "version": "1.0.2",
+      "resolved": "https://registry.npmjs.org/responselike/-/responselike-1.0.2.tgz",
+      "integrity": "sha1-kYcg7ztjHFZCvgaPFa3lpG9Loec=",
+      "requires": {
+        "lowercase-keys": "^1.0.0"
+      }
+    },
     "restore-cursor": {
       "version": "2.0.0",
       "resolved": "https://registry.npmjs.org/restore-cursor/-/restore-cursor-2.0.0.tgz",
@@ -8042,6 +9146,11 @@
       "integrity": "sha512-TTlYpa+OL+vMMNG24xSlQGEJ3B/RzEfUlLct7b5G/ytav+wPrplCpVMFuwzXbkecJrb6IYo1iFb0S9v37754mg==",
       "dev": true
     },
+    "retry": {
+      "version": "0.10.1",
+      "resolved": "https://registry.npmjs.org/retry/-/retry-0.10.1.tgz",
+      "integrity": "sha1-52OI0heZLCUnUCQdPTlW/tmNj/Q="
+    },
     "right-align": {
       "version": "0.1.3",
       "resolved": "https://registry.npmjs.org/right-align/-/right-align-0.1.3.tgz",
@@ -8118,8 +9227,7 @@
     "safer-buffer": {
       "version": "2.1.2",
       "resolved": "https://registry.npmjs.org/safer-buffer/-/safer-buffer-2.1.2.tgz",
-      "integrity": "sha512-YZo3K82SD7Riyi0E1EQPojLz7kpepnSQI9IyPbHHg1XXXevb5dJI7tpyN2ADxGcQbHG7vcyRHk0cbwqcQriUtg==",
-      "dev": true
+      "integrity": "sha512-YZo3K82SD7Riyi0E1EQPojLz7kpepnSQI9IyPbHHg1XXXevb5dJI7tpyN2ADxGcQbHG7vcyRHk0cbwqcQriUtg=="
     },
     "sax": {
       "version": "1.2.1",
@@ -8168,8 +9276,20 @@
     "semver": {
       "version": "5.6.0",
       "resolved": "https://registry.npmjs.org/semver/-/semver-5.6.0.tgz",
-      "integrity": "sha512-RS9R6R35NYgQn++fkDWaOmqGoj4Ek9gGs+DPxNUZKuwE183xjJroKvyo1IzVFeXvUrvmALy6FWD5xrdJT25gMg==",
-      "dev": true
+      "integrity": "sha512-RS9R6R35NYgQn++fkDWaOmqGoj4Ek9gGs+DPxNUZKuwE183xjJroKvyo1IzVFeXvUrvmALy6FWD5xrdJT25gMg=="
+    },
+    "semver-diff": {
+      "version": "2.1.0",
+      "resolved": "https://registry.npmjs.org/semver-diff/-/semver-diff-2.1.0.tgz",
+      "integrity": "sha1-S7uEN8jTfksM8aaP1ybsbWRdbTY=",
+      "requires": {
+        "semver": "^5.0.3"
+      }
+    },
+    "semver-utils": {
+      "version": "1.1.4",
+      "resolved": "https://registry.npmjs.org/semver-utils/-/semver-utils-1.1.4.tgz",
+      "integrity": "sha512-EjnoLE5OGmDAVV/8YDoN5KiajNadjzIp9BAHOhYeQHt7j0UWxjmgsx4YD48wp4Ue1Qogq38F1GNUJNqF1kKKxA=="
     },
     "send": {
       "version": "0.16.2",
@@ -8284,7 +9404,6 @@
       "version": "1.2.0",
       "resolved": "https://registry.npmjs.org/shebang-command/-/shebang-command-1.2.0.tgz",
       "integrity": "sha1-RKrGW2lbAzmJaMOfNj/uXer98eo=",
-      "dev": true,
       "requires": {
         "shebang-regex": "^1.0.0"
       }
@@ -8292,8 +9411,7 @@
     "shebang-regex": {
       "version": "1.0.0",
       "resolved": "https://registry.npmjs.org/shebang-regex/-/shebang-regex-1.0.0.tgz",
-      "integrity": "sha1-2kL0l0DAtC2yypcoVxyxkMmO/qM=",
-      "dev": true
+      "integrity": "sha1-2kL0l0DAtC2yypcoVxyxkMmO/qM="
     },
     "shelljs": {
       "version": "0.7.8",
@@ -8309,8 +9427,12 @@
     "signal-exit": {
       "version": "3.0.2",
       "resolved": "https://registry.npmjs.org/signal-exit/-/signal-exit-3.0.2.tgz",
-      "integrity": "sha1-tf3AjxKH6hF4Yo5BXiUTK3NkbG0=",
-      "dev": true
+      "integrity": "sha1-tf3AjxKH6hF4Yo5BXiUTK3NkbG0="
+    },
+    "sisteransi": {
+      "version": "1.0.3",
+      "resolved": "https://registry.npmjs.org/sisteransi/-/sisteransi-1.0.3.tgz",
+      "integrity": "sha512-SbEG75TzH8G7eVXFSN5f9EExILKfly7SUvVY5DhhYLvfhKqhDFY0OzevWa/zwak0RLRfWS5AvfMWpd9gJvr5Yg=="
     },
     "slash": {
       "version": "1.0.0",
@@ -8327,6 +9449,11 @@
         "is-fullwidth-code-point": "^2.0.0"
       }
     },
+    "smart-buffer": {
+      "version": "4.0.2",
+      "resolved": "https://registry.npmjs.org/smart-buffer/-/smart-buffer-4.0.2.tgz",
+      "integrity": "sha512-JDhEpTKzXusOqXZ0BUIdH+CjFdO/CR3tLlf5CN34IypI+xMmXW1uB16OOY8z3cICbJlDAVJzNbwBhNO0wt9OAw=="
+    },
     "snapdragon": {
       "version": "0.8.2",
       "resolved": "https://registry.npmjs.org/snapdragon/-/snapdragon-0.8.2.tgz",
@@ -8499,6 +9626,34 @@
         }
       }
     },
+    "socks": {
+      "version": "2.3.2",
+      "resolved": "https://registry.npmjs.org/socks/-/socks-2.3.2.tgz",
+      "integrity": "sha512-pCpjxQgOByDHLlNqlnh/mNSAxIUkyBBuwwhTcV+enZGbDaClPvHdvm6uvOwZfFJkam7cGhBNbb4JxiP8UZkRvQ==",
+      "requires": {
+        "ip": "^1.1.5",
+        "smart-buffer": "4.0.2"
+      }
+    },
+    "socks-proxy-agent": {
+      "version": "4.0.2",
+      "resolved": "https://registry.npmjs.org/socks-proxy-agent/-/socks-proxy-agent-4.0.2.tgz",
+      "integrity": "sha512-NT6syHhI9LmuEMSK6Kd2V7gNv5KFZoLE7V5udWmn0de+3Mkj3UMA/AJPLyeNUVmElCurSHtUdM3ETpR3z770Wg==",
+      "requires": {
+        "agent-base": "~4.2.1",
+        "socks": "~2.3.2"
+      },
+      "dependencies": {
+        "agent-base": {
+          "version": "4.2.1",
+          "resolved": "https://registry.npmjs.org/agent-base/-/agent-base-4.2.1.tgz",
+          "integrity": "sha512-JVwXMr9nHYTUXsBFKUqhJwvlcYU/blreOEUkhNR2eXZIvwd+c+o5V4MgDPKWnMS/56awN3TRzIP+KoPn+roQtg==",
+          "requires": {
+            "es6-promisify": "^5.0.0"
+          }
+        }
+      }
+    },
     "source-list-map": {
       "version": "2.0.1",
       "resolved": "https://registry.npmjs.org/source-list-map/-/source-list-map-2.0.1.tgz",
@@ -8545,11 +9700,15 @@
       "integrity": "sha1-PpNdfd1zYxuXZZlW1VEo6HtQhKM=",
       "dev": true
     },
+    "spawn-please": {
+      "version": "0.3.0",
+      "resolved": "https://registry.npmjs.org/spawn-please/-/spawn-please-0.3.0.tgz",
+      "integrity": "sha1-2zOOxM/2Orxp8dDgjO6euL69nRE="
+    },
     "spdx-correct": {
       "version": "3.1.0",
       "resolved": "https://registry.npmjs.org/spdx-correct/-/spdx-correct-3.1.0.tgz",
       "integrity": "sha512-lr2EZCctC2BNR7j7WzJ2FpDznxky1sjfxvvYEyzxNyb6lZXHODmEoJeFu4JupYlkfha1KZpJyoqiJ7pgA1qq8Q==",
-      "dev": true,
       "requires": {
         "spdx-expression-parse": "^3.0.0",
         "spdx-license-ids": "^3.0.0"
@@ -8558,14 +9717,12 @@
     "spdx-exceptions": {
       "version": "2.2.0",
       "resolved": "https://registry.npmjs.org/spdx-exceptions/-/spdx-exceptions-2.2.0.tgz",
-      "integrity": "sha512-2XQACfElKi9SlVb1CYadKDXvoajPgBVPn/gOQLrTvHdElaVhr7ZEbqJaRnJLVNeaI4cMEAgVCeBMKF6MWRDCRA==",
-      "dev": true
+      "integrity": "sha512-2XQACfElKi9SlVb1CYadKDXvoajPgBVPn/gOQLrTvHdElaVhr7ZEbqJaRnJLVNeaI4cMEAgVCeBMKF6MWRDCRA=="
     },
     "spdx-expression-parse": {
       "version": "3.0.0",
       "resolved": "https://registry.npmjs.org/spdx-expression-parse/-/spdx-expression-parse-3.0.0.tgz",
       "integrity": "sha512-Yg6D3XpRD4kkOmTpdgbUiEJFKghJH03fiC1OPll5h/0sO6neh2jqRDVHOQ4o/LMea0tgCkbMgea5ip/e+MkWyg==",
-      "dev": true,
       "requires": {
         "spdx-exceptions": "^2.1.0",
         "spdx-license-ids": "^3.0.0"
@@ -8574,8 +9731,7 @@
     "spdx-license-ids": {
       "version": "3.0.2",
       "resolved": "https://registry.npmjs.org/spdx-license-ids/-/spdx-license-ids-3.0.2.tgz",
-      "integrity": "sha512-qky9CVt0lVIECkEsYbNILVnPvycuEBkXoMFLRWsREkomQLevYhtRKC+R91a5TOAQ3bCMjikRwhyaRqj1VYatYg==",
-      "dev": true
+      "integrity": "sha512-qky9CVt0lVIECkEsYbNILVnPvycuEBkXoMFLRWsREkomQLevYhtRKC+R91a5TOAQ3bCMjikRwhyaRqj1VYatYg=="
     },
     "spdy": {
       "version": "4.0.0",
@@ -8666,8 +9822,7 @@
     "sprintf-js": {
       "version": "1.0.3",
       "resolved": "http://registry.npmjs.org/sprintf-js/-/sprintf-js-1.0.3.tgz",
-      "integrity": "sha1-BOaSb2YolTVPPdAVIDYzuFcpfiw=",
-      "dev": true
+      "integrity": "sha1-BOaSb2YolTVPPdAVIDYzuFcpfiw="
     },
     "ssri": {
       "version": "6.0.1",
@@ -8755,7 +9910,6 @@
       "version": "2.1.1",
       "resolved": "https://registry.npmjs.org/string-width/-/string-width-2.1.1.tgz",
       "integrity": "sha512-nOqH59deCq9SRHlxq1Aw85Jnt4w6KvLKqWVik6oA9ZklXLNIOlqg4F2yrT1MVaTjAqvVwdfeZ7w7aCvJD7ugkw==",
-      "dev": true,
       "requires": {
         "is-fullwidth-code-point": "^2.0.0",
         "strip-ansi": "^4.0.0"
@@ -8764,14 +9918,12 @@
         "ansi-regex": {
           "version": "3.0.0",
           "resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-3.0.0.tgz",
-          "integrity": "sha1-7QMXwyIGT3lGbAKWa922Bas32Zg=",
-          "dev": true
+          "integrity": "sha1-7QMXwyIGT3lGbAKWa922Bas32Zg="
         },
         "strip-ansi": {
           "version": "4.0.0",
           "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-4.0.0.tgz",
           "integrity": "sha1-qEeQIusaw2iocTibY1JixQXuNo8=",
-          "dev": true,
           "requires": {
             "ansi-regex": "^3.0.0"
           }
@@ -8790,7 +9942,6 @@
       "version": "3.0.1",
       "resolved": "http://registry.npmjs.org/strip-ansi/-/strip-ansi-3.0.1.tgz",
       "integrity": "sha1-ajhfuIU9lS1f8F0Oiq+UJ43GPc8=",
-      "dev": true,
       "requires": {
         "ansi-regex": "^2.0.0"
       }
@@ -8804,14 +9955,12 @@
     "strip-eof": {
       "version": "1.0.0",
       "resolved": "http://registry.npmjs.org/strip-eof/-/strip-eof-1.0.0.tgz",
-      "integrity": "sha1-u0P/VZim6wXYm1n80SnJgzE2Br8=",
-      "dev": true
+      "integrity": "sha1-u0P/VZim6wXYm1n80SnJgzE2Br8="
     },
     "strip-json-comments": {
       "version": "2.0.1",
       "resolved": "https://registry.npmjs.org/strip-json-comments/-/strip-json-comments-2.0.1.tgz",
-      "integrity": "sha1-PFMZQukIwml8DsNEhYwobHygpgo=",
-      "dev": true
+      "integrity": "sha1-PFMZQukIwml8DsNEhYwobHygpgo="
     },
     "style-loader": {
       "version": "0.21.0",
@@ -8838,8 +9987,7 @@
     "supports-color": {
       "version": "2.0.0",
       "resolved": "https://registry.npmjs.org/supports-color/-/supports-color-2.0.0.tgz",
-      "integrity": "sha1-U10EXOa2Nj+kARcIRimZXp3zJMc=",
-      "dev": true
+      "integrity": "sha1-U10EXOa2Nj+kARcIRimZXp3zJMc="
     },
     "svg-attributes": {
       "version": "1.0.0",
@@ -8932,9 +10080,9 @@
       }
     },
     "tabulator-tables": {
-      "version": "4.1.3",
-      "resolved": "https://registry.npmjs.org/tabulator-tables/-/tabulator-tables-4.1.3.tgz",
-      "integrity": "sha512-aBtxW8jvtcfvGoLu430CdkNUwPQFL4RLsI6/HC3czHIUsX3rpI7NTQ9psXOB1NPNYmgkMJIT2Iw5YXrPI8k2vw=="
+      "version": "4.4.3",
+      "resolved": "https://registry.npmjs.org/tabulator-tables/-/tabulator-tables-4.4.3.tgz",
+      "integrity": "sha512-wKQPsrY/PbY2hkDBJ5HSqS4VDmlKxafx1k+5uzwI6m1622yqFdu+hQhwi0WD38obvgmvtBJU4Nfu3YEtBHgAPA=="
     },
     "tapable": {
       "version": "1.1.1",
@@ -8942,6 +10090,35 @@
       "integrity": "sha512-9I2ydhj8Z9veORCw5PRm4u9uebCn0mcCa6scWoNcbZ6dAtoo2618u9UUzxgmsCOreJpqDDuv61LvwofW7hLcBA==",
       "dev": true
     },
+    "tar": {
+      "version": "4.4.13",
+      "resolved": "https://registry.npmjs.org/tar/-/tar-4.4.13.tgz",
+      "integrity": "sha512-w2VwSrBoHa5BsSyH+KxEqeQBAllHhccyMFVHtGtdMpF4W7IRWfZjFiQceJPChOeTsSDVUpER2T8FA93pr0L+QA==",
+      "requires": {
+        "chownr": "^1.1.1",
+        "fs-minipass": "^1.2.5",
+        "minipass": "^2.8.6",
+        "minizlib": "^1.2.1",
+        "mkdirp": "^0.5.0",
+        "safe-buffer": "^5.1.2",
+        "yallist": "^3.0.3"
+      },
+      "dependencies": {
+        "yallist": {
+          "version": "3.1.1",
+          "resolved": "https://registry.npmjs.org/yallist/-/yallist-3.1.1.tgz",
+          "integrity": "sha512-a4UGQaWPH59mOXUYnAG2ewncQS4i4F43Tv3JoAM+s2VDAmS9NsK8GpDMLrCHPksFT7h3K6TOoUNn2pb7RoXx4g=="
+        }
+      }
+    },
+    "term-size": {
+      "version": "1.2.0",
+      "resolved": "https://registry.npmjs.org/term-size/-/term-size-1.2.0.tgz",
+      "integrity": "sha1-RYuDiH8oj8Vtb/+/rSYuJmOO+mk=",
+      "requires": {
+        "execa": "^0.7.0"
+      }
+    },
     "text-table": {
       "version": "0.2.0",
       "resolved": "https://registry.npmjs.org/text-table/-/text-table-0.2.0.tgz",
@@ -8979,8 +10156,7 @@
     "through": {
       "version": "2.3.8",
       "resolved": "http://registry.npmjs.org/through/-/through-2.3.8.tgz",
-      "integrity": "sha1-DdTJ/6q8NXlgsbckEV1+Doai4fU=",
-      "dev": true
+      "integrity": "sha1-DdTJ/6q8NXlgsbckEV1+Doai4fU="
     },
     "through2": {
       "version": "2.0.5",
@@ -9036,6 +10212,11 @@
         "kind-of": "^3.0.2"
       }
     },
+    "to-readable-stream": {
+      "version": "1.0.0",
+      "resolved": "https://registry.npmjs.org/to-readable-stream/-/to-readable-stream-1.0.0.tgz",
+      "integrity": "sha512-Iq25XBt6zD5npPhlLVXGFN3/gyR2/qODcKNNyTMd4vbm39HUaOiAM4PMq0eMVC/Tkxz+Zjdsc55g9yyz+Yq00Q=="
+    },
     "to-regex": {
       "version": "3.0.2",
       "resolved": "https://registry.npmjs.org/to-regex/-/to-regex-3.0.2.tgz",
@@ -9096,6 +10277,11 @@
         "prelude-ls": "~1.1.2"
       }
     },
+    "type-fest": {
+      "version": "0.3.1",
+      "resolved": "https://registry.npmjs.org/type-fest/-/type-fest-0.3.1.tgz",
+      "integrity": "sha512-cUGJnCdr4STbePCgqNFbpVNCepa+kAVohJs1sLhxzdH+gnEoOd8VhbYa7pD3zZYGiURWM2xzEII3fQcRizDkYQ=="
+    },
     "type-is": {
       "version": "1.6.16",
       "resolved": "https://registry.npmjs.org/type-is/-/type-is-1.6.16.tgz",
@@ -9352,6 +10538,14 @@
         "imurmurhash": "^0.1.4"
       }
     },
+    "unique-string": {
+      "version": "1.0.0",
+      "resolved": "https://registry.npmjs.org/unique-string/-/unique-string-1.0.0.tgz",
+      "integrity": "sha1-nhBXzKhRq7kzmPizOuGHuZyuwRo=",
+      "requires": {
+        "crypto-random-string": "^1.0.0"
+      }
+    },
     "unpipe": {
       "version": "1.0.0",
       "resolved": "https://registry.npmjs.org/unpipe/-/unpipe-1.0.0.tgz",
@@ -9410,6 +10604,53 @@
       "integrity": "sha512-bzpH/oBhoS/QI/YtbkqCg6VEiPYjSZtrHQM6/QnJS6OL9pKUFLqb3aFh4Scvwm45+7iAgiMkLhSbaZxUqmrprw==",
       "dev": true
     },
+    "update-notifier": {
+      "version": "3.0.1",
+      "resolved": "https://registry.npmjs.org/update-notifier/-/update-notifier-3.0.1.tgz",
+      "integrity": "sha512-grrmrB6Zb8DUiyDIaeRTBCkgISYUgETNe7NglEbVsrLWXeESnlCSP50WfRSj/GmzMPl6Uchj24S/p80nP/ZQrQ==",
+      "requires": {
+        "boxen": "^3.0.0",
+        "chalk": "^2.0.1",
+        "configstore": "^4.0.0",
+        "has-yarn": "^2.1.0",
+        "import-lazy": "^2.1.0",
+        "is-ci": "^2.0.0",
+        "is-installed-globally": "^0.1.0",
+        "is-npm": "^3.0.0",
+        "is-yarn-global": "^0.3.0",
+        "latest-version": "^5.0.0",
+        "semver-diff": "^2.0.0",
+        "xdg-basedir": "^3.0.0"
+      },
+      "dependencies": {
+        "ansi-styles": {
+          "version": "3.2.1",
+          "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-3.2.1.tgz",
+          "integrity": "sha512-VT0ZI6kZRdTh8YyJw3SMbYm/u+NqfsAxEpWO0Pf9sq8/e94WxxOpPKx9FR1FlyCtOVDNOQ+8ntlqFxiRc+r5qA==",
+          "requires": {
+            "color-convert": "^1.9.0"
+          }
+        },
+        "chalk": {
+          "version": "2.4.2",
+          "resolved": "https://registry.npmjs.org/chalk/-/chalk-2.4.2.tgz",
+          "integrity": "sha512-Mti+f9lpJNcwF4tWV8/OrTTtF1gZi+f8FqlyAdouralcFWFQWF2+NgCHShjkCb+IFBLq9buZwE1xckQU4peSuQ==",
+          "requires": {
+            "ansi-styles": "^3.2.1",
+            "escape-string-regexp": "^1.0.5",
+            "supports-color": "^5.3.0"
+          }
+        },
+        "supports-color": {
+          "version": "5.5.0",
+          "resolved": "https://registry.npmjs.org/supports-color/-/supports-color-5.5.0.tgz",
+          "integrity": "sha512-QjVjwdXIt408MIiAqCX4oUKsgU2EqAGzs2Ppkm4aQYbjm+ZEWEcW4SfFNTr4uMNZma0ey4f5lgLrkB0aX0QMow==",
+          "requires": {
+            "has-flag": "^3.0.0"
+          }
+        }
+      }
+    },
     "upper-case": {
       "version": "1.1.3",
       "resolved": "https://registry.npmjs.org/upper-case/-/upper-case-1.1.3.tgz",
@@ -9456,6 +10697,14 @@
         "requires-port": "^1.0.0"
       }
     },
+    "url-parse-lax": {
+      "version": "3.0.0",
+      "resolved": "https://registry.npmjs.org/url-parse-lax/-/url-parse-lax-3.0.0.tgz",
+      "integrity": "sha1-FrXK/Afb42dsGxmZF3gj1lA6yww=",
+      "requires": {
+        "prepend-http": "^2.0.0"
+      }
+    },
     "use": {
       "version": "3.1.1",
       "resolved": "https://registry.npmjs.org/use/-/use-3.1.1.tgz",
@@ -9528,12 +10777,19 @@
       "version": "3.0.4",
       "resolved": "https://registry.npmjs.org/validate-npm-package-license/-/validate-npm-package-license-3.0.4.tgz",
       "integrity": "sha512-DpKm2Ui/xN7/HQKCtpZxoRWBhZ9Z0kqtygG8XCgNQ8ZlDnxuQmWhj566j8fN4Cu3/JmbhsDo7fcAJq4s9h27Ew==",
-      "dev": true,
       "requires": {
         "spdx-correct": "^3.0.0",
         "spdx-expression-parse": "^3.0.0"
       }
     },
+    "validate-npm-package-name": {
+      "version": "3.0.0",
+      "resolved": "https://registry.npmjs.org/validate-npm-package-name/-/validate-npm-package-name-3.0.0.tgz",
+      "integrity": "sha1-X6kS2B630MdK/BQN5zF/DKffQ34=",
+      "requires": {
+        "builtins": "^1.0.3"
+      }
+    },
     "value-equal": {
       "version": "0.4.0",
       "resolved": "https://registry.npmjs.org/value-equal/-/value-equal-0.4.0.tgz",
@@ -10851,7 +12107,6 @@
       "version": "1.3.1",
       "resolved": "https://registry.npmjs.org/which/-/which-1.3.1.tgz",
       "integrity": "sha512-HxJdYWq1MTIQbJ3nw0cqssHoTNU267KlrDuGZ1WYlxDStUtKUhOaJmh112/TZmHxxUfuJqPXSOm7tDyas0OSIQ==",
-      "dev": true,
       "requires": {
         "isexe": "^2.0.0"
       }
@@ -10862,6 +12117,14 @@
       "integrity": "sha1-2e8H3Od7mQK4o6j6SzHD4/fm6Ho=",
       "dev": true
     },
+    "widest-line": {
+      "version": "2.0.1",
+      "resolved": "https://registry.npmjs.org/widest-line/-/widest-line-2.0.1.tgz",
+      "integrity": "sha512-Ba5m9/Fa4Xt9eb2ELXt77JxVDV8w7qQrH0zS/TWSJdLyAwQjWoOzpzj5lwVftDz6n/EOu3tNACS84v509qwnJA==",
+      "requires": {
+        "string-width": "^2.1.1"
+      }
+    },
     "window-size": {
       "version": "0.1.0",
       "resolved": "https://registry.npmjs.org/window-size/-/window-size-0.1.0.tgz",
@@ -10929,6 +12192,21 @@
         "mkdirp": "^0.5.1"
       }
     },
+    "write-file-atomic": {
+      "version": "2.4.3",
+      "resolved": "https://registry.npmjs.org/write-file-atomic/-/write-file-atomic-2.4.3.tgz",
+      "integrity": "sha512-GaETH5wwsX+GcnzhPgKcKjJ6M2Cq3/iZp1WyY/X1CSqrW+jVNM9Y7D8EC2sM4ZG/V8wZlSniJnCKWPmBYAucRQ==",
+      "requires": {
+        "graceful-fs": "^4.1.11",
+        "imurmurhash": "^0.1.4",
+        "signal-exit": "^3.0.2"
+      }
+    },
+    "xdg-basedir": {
+      "version": "3.0.0",
+      "resolved": "https://registry.npmjs.org/xdg-basedir/-/xdg-basedir-3.0.0.tgz",
+      "integrity": "sha1-SWsswQnsqNus/i3HK2A8F8WHCtQ="
+    },
     "xml2js": {
       "version": "0.4.19",
       "resolved": "https://registry.npmjs.org/xml2js/-/xml2js-0.4.19.tgz",
diff --git a/package.json b/package.json
index 7f53f126..b2d1340a 100644
--- a/package.json
+++ b/package.json
@@ -44,6 +44,7 @@
     "leaflet": "^1.3.4",
     "leaflet-arc": "^1.0.2",
     "node-fetch": "^2.2.0",
+    "npm-check-updates": "^3.1.24",
     "parse-csv": "^0.2.0",
     "preact": "^8.4.2",
     "preact-compat": "^3.18.4",
@@ -63,7 +64,7 @@
     "snapsvg": "^0.5.1",
     "store2": "^2.7.0",
     "svgtodatauri": "0.0.0",
-    "tabulator-tables": "^4.1.3",
+    "tabulator-tables": "^4.4.3",
     "three": "^0.100.0",
     "three-orbitcontrols": "^2.99.1",
     "three.meshline": "^1.1.0",
diff --git a/site/assets/css/applets.css b/site/assets/css/applets.css
index 245643f1..70d8f51f 100644
--- a/site/assets/css/applets.css
+++ b/site/assets/css/applets.css
@@ -9,7 +9,7 @@
   min-height: 0;
 }
 .applet {
-  margin-bottom: 60px;
+  margin-bottom: 0px;
   transition: opacity 0.2s cubic-bezier(0,0,1,1);
   opacity: 0;
 }
diff --git a/site/assets/css/css.css b/site/assets/css/css.css
index ae22fa1a..89ac8616 100644
--- a/site/assets/css/css.css
+++ b/site/assets/css/css.css
@@ -385,14 +385,14 @@ section h1, section h2, section h3, section h4, section h5, section h6, section
   line-height:34px;
 }
 .content-dataset section:nth-child(4) p:nth-child(2){
-  font-size:20px;
+  font-size:18px;
   line-height: 34px;
   color:#000;
 }
 .content-dataset section:nth-child(3) p:nth-child(2) {
   /* highlight news text */
   /*font-style: italic;*/
-  font-weight: 500;
+  font-weight: 400;
   color:#f00;
 }
 .content-dataset section:nth-child(3) p:nth-child(2) a{
@@ -713,7 +713,7 @@ section.fullwidth .image {
   text-align: center;
   font-size: 10pt;
   line-height: 14pt;
-  color: #555;
+  color: #333;
   max-width: 960px;
   margin: 10px auto 10px auto;
   font-family: 'Roboto';
@@ -1304,7 +1304,7 @@ a.footnote_shim {
   margin-right: 10px;
 }
 .content .backlinks a {
-  color: #ff8;
+  color: #333;
   font-size: 10px;
   text-decoration: none;
   border: 0;
diff --git a/site/content/pages/datasets/duke_mtmc/index.md b/site/content/pages/datasets/duke_mtmc/index.md
index cba08a3c..e6a77269 100644
--- a/site/content/pages/datasets/duke_mtmc/index.md
+++ b/site/content/pages/datasets/duke_mtmc/index.md
@@ -16,7 +16,7 @@ authors: Adam Harvey
 
 # Duke MTMC
 
-*Update: In response to this report and an [investigation](https://www.ft.com/content/cf19b956-60a2-11e9-b285-3acd5d43599e) by the Financial Times, Duke University has terminated the Duke MTMC dataset.*
+Update: In response to this report and an [investigation](https://www.ft.com/content/cf19b956-60a2-11e9-b285-3acd5d43599e) by the Financial Times, Duke University has terminated the Duke MTMC dataset.
 
 ### sidebar
 ### end sidebar
diff --git a/site/content/pages/datasets/helen/assets/gender.csv b/site/content/pages/datasets/helen/assets/gender.csv
index e51919bc..ef44b6bd 100644
--- a/site/content/pages/datasets/helen/assets/gender.csv
+++ b/site/content/pages/datasets/helen/assets/gender.csv
@@ -1,4 +1,4 @@
 gender,faces
 Male,1118
 Female,1184
-They,186
+Overlap,186
diff --git a/site/content/pages/datasets/megaface/assets/gender.csv b/site/content/pages/datasets/megaface/assets/gender.csv
index a23e6548..05ba9e43 100644
--- a/site/content/pages/datasets/megaface/assets/gender.csv
+++ b/site/content/pages/datasets/megaface/assets/gender.csv
@@ -1,4 +1,4 @@
 gender,faces
-male,884043
-female,580747
-they,94990
+Male,884043
+Female,580747
+Overlap,94990
diff --git a/site/includes/dashboard.html b/site/includes/dashboard.html
index 02d054b5..4c98189d 100644
--- a/site/includes/dashboard.html
+++ b/site/includes/dashboard.html
@@ -37,7 +37,7 @@
 	
  • Commercial
    • 
 	
  • Military / Government
    • 
 	
-	
    Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.
    
+	
    Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated. Citations are used to provide overview of how and where images were used.
    
 
    
 
 
diff --git a/site/public/datasets/adience/index.html b/site/public/datasets/adience/index.html
index a03fb3c6..9f621441 100644
--- a/site/public/datasets/adience/index.html
+++ b/site/public/datasets/adience/index.html
@@ -99,7 +99,7 @@
 	
    Information Supply Chain
    
 
 	
    
-		To help understand how Adience Benchmark Dataset has been used around the world by commercial, military, and academic organizations; existing publicly available research citing Adience Benchmark was collected, verified, and geocoded to show the information supply chains of people appearing in the images. Click on the markers to reveal research projects at that location.
+		To help understand how Adience Benchmark Dataset has been used around the world by commercial, military, and academic organizations; existing publicly available research citing Adience Benchmark was collected, verified, and geocoded to show how AI training data has proliferated around the world. Click on the markers to reveal research projects at that location.
 	
    
  
  
@@ -114,7 +114,7 @@
 	
  • Commercial
    • 
 	
  • Military / Government
    • 
 	
-	
    Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.
    
+	
    Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated. Citations are used to provide overview of how and where images were used.
    
 
    
 
 
diff --git a/site/public/datasets/brainwash/index.html b/site/public/datasets/brainwash/index.html
index efd2f5a8..31390edf 100644
--- a/site/public/datasets/brainwash/index.html
+++ b/site/public/datasets/brainwash/index.html
@@ -124,7 +124,7 @@
 	
  • Commercial
    • 
 	
  • Military / Government
    • 
 	
-	
    Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.
    
+	
    Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated. Citations are used to provide overview of how and where images were used.
    
 
 
 
diff --git a/site/public/datasets/duke_mtmc/index.html b/site/public/datasets/duke_mtmc/index.html
index 351606cb..e86afe63 100644
--- a/site/public/datasets/duke_mtmc/index.html
+++ b/site/public/datasets/duke_mtmc/index.html
@@ -56,7 +56,7 @@
   
    
     
   
    A still frame from the Duke MTMC (Multi-Target-Multi-Camera) CCTV dataset captured on Duke University campus in 2014. The dataset has now been terminated by the author in response to this report.
    Duke MTMC
    
-
    Update: In response to this report and an investigation by the Financial Times, Duke University has terminated the Duke MTMC dataset.
    
+
    Update: In response to this report and an investigation by the Financial Times, Duke University has terminated the Duke MTMC dataset.
    
 
    
     
    Published
    
     
    2016
    
@@ -272,7 +272,7 @@
 	
    Information Supply Chain
    
 
 	
    
-		To help understand how Duke MTMC Dataset has been used around the world by commercial, military, and academic organizations; existing publicly available research citing Duke Multi-Target, Multi-Camera Tracking Project was collected, verified, and geocoded to show the information supply chains of people appearing in the images. Click on the markers to reveal research projects at that location.
+		To help understand how Duke MTMC Dataset has been used around the world by commercial, military, and academic organizations; existing publicly available research citing Duke Multi-Target, Multi-Camera Tracking Project was collected, verified, and geocoded to show how AI training data has proliferated around the world. Click on the markers to reveal research projects at that location.
 	
    
  
  
    
@@ -287,7 +287,7 @@
 	
  • Commercial
    • 
 	
  • Military / Government
    • 
 	
-	
    Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.
    
+	
    Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated. Citations are used to provide overview of how and where images were used.
    
 
    
 
 
diff --git a/site/public/datasets/helen/index.html b/site/public/datasets/helen/index.html
index ffd432b9..08791d29 100644
--- a/site/public/datasets/helen/index.html
+++ b/site/public/datasets/helen/index.html
@@ -174,7 +174,7 @@
 	
  • Commercial
    • 
 	
  • Military / Government
    • 
 	
-	
    Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.
    
+	
    Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated. Citations are used to provide overview of how and where images were used.
    
 
 
 
diff --git a/site/public/datasets/ibm_dif/index.html b/site/public/datasets/ibm_dif/index.html
index f9e7a91d..924194a7 100644
--- a/site/public/datasets/ibm_dif/index.html
+++ b/site/public/datasets/ibm_dif/index.html
@@ -90,7 +90,7 @@
 	
    Information Supply Chain
    
 
 	
    
-		To help understand how IBM Diversity in Faces has been used around the world by commercial, military, and academic organizations; existing publicly available research citing Diversity in Faces Dataset was collected, verified, and geocoded to show the information supply chains of people appearing in the images. Click on the markers to reveal research projects at that location.
+		To help understand how IBM Diversity in Faces has been used around the world by commercial, military, and academic organizations; existing publicly available research citing Diversity in Faces Dataset was collected, verified, and geocoded to show how AI training data has proliferated around the world. Click on the markers to reveal research projects at that location.
 	
    
  
  
@@ -105,7 +105,7 @@
 	
  • Commercial
    • 
 	
  • Military / Government
    • 
 	
-	
    Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.
    
+	
    Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated. Citations are used to provide overview of how and where images were used.
    
 
 
 
diff --git a/site/public/datasets/ijb_c/index.html b/site/public/datasets/ijb_c/index.html
index 1795ccbd..05826c3f 100644
--- a/site/public/datasets/ijb_c/index.html
+++ b/site/public/datasets/ijb_c/index.html
@@ -149,7 +149,7 @@
 	
    Information Supply Chain
    
 
 	
    
-		To help understand how IJB-C has been used around the world by commercial, military, and academic organizations; existing publicly available research citing IARPA Janus Benchmark C was collected, verified, and geocoded to show the information supply chains of people appearing in the images. Click on the markers to reveal research projects at that location.
+		To help understand how IJB-C has been used around the world by commercial, military, and academic organizations; existing publicly available research citing IARPA Janus Benchmark C was collected, verified, and geocoded to show how AI training data has proliferated around the world. Click on the markers to reveal research projects at that location.
 	
    
  
  
@@ -164,7 +164,7 @@
 	
  • Commercial
    • 
 	
  • Military / Government
    • 
 	
-	
    Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.
    
+	
    Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated. Citations are used to provide overview of how and where images were used.
    
 
 
 
diff --git a/site/public/datasets/lfpw/index.html b/site/public/datasets/lfpw/index.html
index 7cee2116..cc2a2c3f 100644
--- a/site/public/datasets/lfpw/index.html
+++ b/site/public/datasets/lfpw/index.html
@@ -99,7 +99,7 @@
 	
    Information Supply Chain
    
 
 	
    
-		To help understand how LFPW has been used around the world by commercial, military, and academic organizations; existing publicly available research citing Labeled Face Parts in the Wild was collected, verified, and geocoded to show the information supply chains of people appearing in the images. Click on the markers to reveal research projects at that location.
+		To help understand how LFPW has been used around the world by commercial, military, and academic organizations; existing publicly available research citing Labeled Face Parts in the Wild was collected, verified, and geocoded to show how AI training data has proliferated around the world. Click on the markers to reveal research projects at that location.
 	
    
  
  
@@ -114,7 +114,7 @@
 	
  • Commercial
    • 
 	
  • Military / Government
    • 
 	
-	
    Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.
    
+	
    Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated. Citations are used to provide overview of how and where images were used.
    
 
 
 
diff --git a/site/public/datasets/megaface/index.html b/site/public/datasets/megaface/index.html
index 7ef1842f..d213293a 100644
--- a/site/public/datasets/megaface/index.html
+++ b/site/public/datasets/megaface/index.html
@@ -67,7 +67,10 @@
     
    672,057 
    
   
    
     
    Purpose
    
-    
    face recognition
    
+    
    Face recognition
    
+  
    
+    
    Created by
    
+    
    Ira Kemelmacher-Shlizerman
    
   
    
     
    Website
    
     
@@ -129,7 +132,7 @@
 	
  • Commercial
    • 
 	
  • Military / Government
    • 
 	
-	
    Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.
    
+	
    Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated. Citations are used to provide overview of how and where images were used.
    
 
    
 
 
diff --git a/site/public/datasets/msceleb/index.html b/site/public/datasets/msceleb/index.html
index f0da450f..a664e99f 100644
--- a/site/public/datasets/msceleb/index.html
+++ b/site/public/datasets/msceleb/index.html
@@ -261,7 +261,7 @@
 	
  • Commercial
    • 
 	
  • Military / Government
    • 
 	
-	
    Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.
    
+	
    Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated. Citations are used to provide overview of how and where images were used.
    
 
 
 
diff --git a/site/public/datasets/oxford_town_centre/index.html b/site/public/datasets/oxford_town_centre/index.html
index 24a5623d..3a7eabf0 100644
--- a/site/public/datasets/oxford_town_centre/index.html
+++ b/site/public/datasets/oxford_town_centre/index.html
@@ -119,7 +119,7 @@
 	
  • Commercial
    • 
 	
  • Military / Government
    • 
 	
-	
    Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.
    
+	
    Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated. Citations are used to provide overview of how and where images were used.
    
 
 
 
diff --git a/site/public/datasets/pipa/index.html b/site/public/datasets/pipa/index.html
index dfc54654..9c0a974a 100644
--- a/site/public/datasets/pipa/index.html
+++ b/site/public/datasets/pipa/index.html
@@ -99,7 +99,7 @@
 	
    Information Supply Chain
    
 
 	
    
-		To help understand how PIPA Dataset has been used around the world by commercial, military, and academic organizations; existing publicly available research citing People in Photo Albums Dataset was collected, verified, and geocoded to show the information supply chains of people appearing in the images. Click on the markers to reveal research projects at that location.
+		To help understand how PIPA Dataset has been used around the world by commercial, military, and academic organizations; existing publicly available research citing People in Photo Albums Dataset was collected, verified, and geocoded to show how AI training data has proliferated around the world. Click on the markers to reveal research projects at that location.
 	
    
  
  
@@ -114,7 +114,7 @@
 	
  • Commercial
    • 
 	
  • Military / Government
    • 
 	
-	
    Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.
    
+	
    Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated. Citations are used to provide overview of how and where images were used.
    
 
 
 
diff --git a/site/public/datasets/uccs/index.html b/site/public/datasets/uccs/index.html
index c7816b1f..8cc11c90 100644
--- a/site/public/datasets/uccs/index.html
+++ b/site/public/datasets/uccs/index.html
@@ -126,7 +126,7 @@ Their setup made it impossible for students to know they were being photographed
 	
  • Commercial
    • 
 	
  • Military / Government
    • 
 	
-	
    Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.
    
+	
    Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated. Citations are used to provide overview of how and where images were used.
    
 
 
 
diff --git a/site/public/datasets/who_goes_there/index.html b/site/public/datasets/who_goes_there/index.html
index b57bf469..0d19da0b 100644
--- a/site/public/datasets/who_goes_there/index.html
+++ b/site/public/datasets/who_goes_there/index.html
@@ -81,7 +81,7 @@
 	
    Information Supply Chain
    
 
 	
    
-		To help understand how Who Goes There Dataset has been used around the world by commercial, military, and academic organizations; existing publicly available research citing WhoGoesThere was collected, verified, and geocoded to show the information supply chains of people appearing in the images. Click on the markers to reveal research projects at that location.
+		To help understand how Who Goes There Dataset has been used around the world by commercial, military, and academic organizations; existing publicly available research citing WhoGoesThere was collected, verified, and geocoded to show how AI training data has proliferated around the world. Click on the markers to reveal research projects at that location.
 	
    
  
  
@@ -96,7 +96,7 @@
 	
  • Commercial
    • 
 	
  • Military / Government
    • 
 	
-	
    Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.
    
+	
    Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated. Citations are used to provide overview of how and where images were used.
    
 
 
 
-- 
cgit v1.2.3-70-g09d2