diff options
Diffstat (limited to 'site/content')
54 files changed, 252 insertions, 112 deletions
diff --git a/site/content/pages/about/assets/adam-harvey.jpg b/site/content/pages/about/assets/adam-harvey.jpg Binary files differnew file mode 100644 index 00000000..e0ab893a --- /dev/null +++ b/site/content/pages/about/assets/adam-harvey.jpg diff --git a/site/content/pages/about/assets/jules-laplace.jpg b/site/content/pages/about/assets/jules-laplace.jpg Binary files differnew file mode 100644 index 00000000..310b2783 --- /dev/null +++ b/site/content/pages/about/assets/jules-laplace.jpg diff --git a/site/content/pages/about/assets/mozilla.png b/site/content/pages/about/assets/mozilla.png Binary files differnew file mode 100644 index 00000000..0fd4f115 --- /dev/null +++ b/site/content/pages/about/assets/mozilla.png diff --git a/site/content/pages/about/credits.md b/site/content/pages/about/credits.md index 2d16155c..3cd0b05b 100644 --- a/site/content/pages/about/credits.md +++ b/site/content/pages/about/credits.md @@ -12,6 +12,17 @@ authors: Adam Harvey # Credits +### Sidebar + +- [About](/about/) +- [Press](/about/press/) +- [Credits](/about/credits/) +- [Disclaimer](/about/disclaimer/) +- [Terms and Conditions](/about/terms/) +- [Privacy Policy](/about/privacy/) + +## End Sidebar + - MegaPixels by Adam Harvey - Made with support from Mozilla - Site developed by Jules Laplace diff --git a/site/content/pages/about/disclaimer.md b/site/content/pages/about/disclaimer.md index 64ce9f21..27cf6760 100644 --- a/site/content/pages/about/disclaimer.md +++ b/site/content/pages/about/disclaimer.md @@ -12,6 +12,17 @@ authors: Adam Harvey # Disclaimer +### Sidebar + +- [About](/about/) +- [Press](/about/press/) +- [Credits](/about/credits/) +- [Disclaimer](/about/disclaimer/) +- [Terms and Conditions](/about/terms/) +- [Privacy Policy](/about/privacy/) + +## End Sidebar + Last updated: December 04, 2018 The information contained on MegaPixels.cc website (the "Service") is for academic and artistic purposes only. diff --git a/site/content/pages/about/index.md b/site/content/pages/about/index.md index e2025bf2..59f70d7a 100644 --- a/site/content/pages/about/index.md +++ b/site/content/pages/about/index.md @@ -1,8 +1,8 @@ ------------ status: published -title: MegaPixels Credits -desc: MegaPixels Project Team Credits +title: About MegaPixels +desc: About MegaPixels slug: credits published: 2018-12-04 updated: 2018-12-04 @@ -10,10 +10,30 @@ authors: Adam Harvey ------------ -# Credits +# About MegaPixels -- MegaPixels by Adam Harvey -- Made with support from Mozilla -- Site developed by Jules Laplace -- Design and graphics: Adam Harvey -- Research assistants: Berit Gilma
\ No newline at end of file +### Sidebar + +- [Press](/about/press/) +- [Credits](/about/credits/) +- [Disclaimer](/about/disclaimer/) +- [Terms and Conditions](/about/terms/) +- [Privacy Policy](/about/privacy/) + ++ Years: 2002-2019 ++ Datasets Analyzed: 325 ++ Author: Adam Harvey ++ Development: Jules LaPlace ++ Research Assistance: Berit Gilma + +## End Sidebar + +MegaPixels aims to answer to these questions and reveal the stories behind the millions of images used to train, evaluate, and power the facial recognition surveillance algorithms used today. MegaPixels is authored by Adam Harvey, developed in collaboration with Jules LaPlace, and produced in partnership with Mozilla. + +MegaPixels aims to answer to these questions and reveal the stories behind the millions of images used to train, evaluate, and power the facial recognition surveillance algorithms used today. MegaPixels is authored by Adam Harvey, developed in collaboration with Jules LaPlace, and produced in partnership with Mozilla. + + **Adam Harvey** is an American artist and researcher based in Berlin. His previous projects (CV Dazzle, Stealth Wear, and SkyLift) explore the potential for countersurveillance as artwork. He is the founder of VFRAME (visual forensics software for human rights groups), the recipient of 2 PrototypeFund awards, and is currently a researcher in residence at Karlsruhe HfG studying artifical intelligence and datasets. + + **Jules LaPlace** is an American artist and technologist also based in Berlin. He was previously the CTO of a NYC digital agency and currently works at VFRAME, developing computer vision for human rights groups, and building creative software for artists. + + **Mozilla** is a free software community founded in 1998 by members of Netscape. The Mozilla community uses, develops, spreads and supports Mozilla products, thereby promoting exclusively free software and open standards, with only minor exceptions. The community is supported institutionally by the not-for-profit Mozilla Foundation and its tax-paying subsidiary, the Mozilla Corporation. diff --git a/site/content/pages/about/press.md b/site/content/pages/about/press.md index 56b4990f..0e3124d0 100644 --- a/site/content/pages/about/press.md +++ b/site/content/pages/about/press.md @@ -13,8 +13,20 @@ authors: Adam Harvey # Press +### Sidebar + +- [About](/about/) +- [Press](/about/press/) +- [Credits](/about/credits/) +- [Disclaimer](/about/disclaimer/) +- [Terms and Conditions](/about/terms/) +- [Privacy Policy](/about/privacy/) + +## End Sidebar +  - Aug 22, 2018: "Transgender YouTubers had their videos grabbed to train facial recognition software" by James Vincent <https://www.theverge.com/2017/8/22/16180080/transgender-youtubers-ai-facial-recognition-dataset> - Aug 22, 2018: "Transgender YouTubers had their videos grabbed to train facial recognition software" by James Vincent <https://www.theverge.com/2017/8/22/16180080/transgender-youtubers-ai-facial-recognition-dataset> - Aug 22, 2018: "Transgender YouTubers had their videos grabbed to train facial recognition software" by James Vincent <https://www.theverge.com/2017/8/22/16180080/transgender-youtubers-ai-facial-recognition-dataset> +lfw
\ No newline at end of file diff --git a/site/content/pages/about/privacy.md b/site/content/pages/about/privacy.md index 17d1b707..9685a189 100644 --- a/site/content/pages/about/privacy.md +++ b/site/content/pages/about/privacy.md @@ -12,6 +12,16 @@ authors: Adam Harvey # Privacy Policy +### Sidebar + +- [About](/about/) +- [Press](/about/press/) +- [Credits](/about/credits/) +- [Disclaimer](/about/disclaimer/) +- [Terms and Conditions](/about/terms/) +- [Privacy Policy](/about/privacy/) + +## End Sidebar A summary of our privacy policy is as follows: diff --git a/site/content/pages/about/terms.md b/site/content/pages/about/terms.md index 3735ff08..6ad03bc1 100644 --- a/site/content/pages/about/terms.md +++ b/site/content/pages/about/terms.md @@ -11,8 +11,18 @@ authors: Adam Harvey ------------ -Terms and Conditions ("Terms") +# Terms and Conditions ("Terms") +### Sidebar + +- [About](/about/) +- [Press](/about/press/) +- [Credits](/about/credits/) +- [Disclaimer](/about/disclaimer/) +- [Terms and Conditions](/about/terms/) +- [Privacy Policy](/about/privacy/) + +## End Sidebar Last updated: December 04, 2018 diff --git a/site/content/pages/datasets/50_people_one_question/assets/background.gif b/site/content/pages/datasets/50_people_one_question/assets/background.gif Binary files differnew file mode 100644 index 00000000..a0539bbb --- /dev/null +++ b/site/content/pages/datasets/50_people_one_question/assets/background.gif diff --git a/site/content/pages/datasets/50_people_one_question/assets/background.jpg b/site/content/pages/datasets/50_people_one_question/assets/background.jpg Binary files differnew file mode 100644 index 00000000..f7567314 --- /dev/null +++ b/site/content/pages/datasets/50_people_one_question/assets/background.jpg diff --git a/site/content/pages/datasets/50_people_one_question/assets/background_02.jpg b/site/content/pages/datasets/50_people_one_question/assets/background_02.jpg Binary files differnew file mode 100644 index 00000000..f20ee861 --- /dev/null +++ b/site/content/pages/datasets/50_people_one_question/assets/background_02.jpg diff --git a/site/content/pages/datasets/50_people_one_question/assets/index.jpg b/site/content/pages/datasets/50_people_one_question/assets/index.jpg Binary files differnew file mode 100644 index 00000000..7bf4ed1d --- /dev/null +++ b/site/content/pages/datasets/50_people_one_question/assets/index.jpg diff --git a/site/content/pages/datasets/50_people_one_question/assets/index_02.jpg b/site/content/pages/datasets/50_people_one_question/assets/index_02.jpg Binary files differnew file mode 100644 index 00000000..347bd08d --- /dev/null +++ b/site/content/pages/datasets/50_people_one_question/assets/index_02.jpg diff --git a/site/content/pages/datasets/brainwash/assets/background.jpg b/site/content/pages/datasets/brainwash/assets/background.jpg Binary files differnew file mode 100644 index 00000000..eada1779 --- /dev/null +++ b/site/content/pages/datasets/brainwash/assets/background.jpg diff --git a/site/content/pages/datasets/brainwash/assets/index.jpg b/site/content/pages/datasets/brainwash/assets/index.jpg Binary files differnew file mode 100644 index 00000000..c903baea --- /dev/null +++ b/site/content/pages/datasets/brainwash/assets/index.jpg diff --git a/site/content/pages/datasets/caltech_10k/index.md b/site/content/pages/datasets/caltech_10k/index.md new file mode 100644 index 00000000..8f49f2d1 --- /dev/null +++ b/site/content/pages/datasets/caltech_10k/index.md @@ -0,0 +1,29 @@ +------------ + +status: published +title: Caltech 10K Faces Dataset +desc: Caltech 10K Faces Dataset +slug: caltech_10k +published: 2019-2-23 +updated: 2019-2-23 +authors: Adam Harvey + +------------ + +# Caltech 10K Faces Dataset + ++ Years: TBD ++ Images: TBD ++ Identities: TBD ++ Origin: Google Search ++ Funding: TBD + +------- + +Ignore text below these lines + +------- + +Research + +The dataset contains images of people collected from the web by typing common given names into Google Image Search. The coordinates of the eyes, the nose and the center of the mouth for each frontal face are provided in a ground truth file. This information can be used to align and crop the human faces or as a ground truth for a face detection algorithm. The dataset has 10,524 human faces of various resolutions and in different settings, e.g. portrait images, groups of people, etc. Profile faces or very low resolution faces are not labeled.
\ No newline at end of file diff --git a/site/content/pages/datasets/duke_mtmc/assets/background.jpg b/site/content/pages/datasets/duke_mtmc/assets/background.jpg Binary files differnew file mode 100644 index 00000000..fb76d97f --- /dev/null +++ b/site/content/pages/datasets/duke_mtmc/assets/background.jpg diff --git a/site/content/pages/datasets/duke_mtmc/assets/index.jpg b/site/content/pages/datasets/duke_mtmc/assets/index.jpg Binary files differnew file mode 100644 index 00000000..89b7b08d --- /dev/null +++ b/site/content/pages/datasets/duke_mtmc/assets/index.jpg diff --git a/site/content/pages/datasets/facebook/index.md b/site/content/pages/datasets/facebook/index.md new file mode 100644 index 00000000..6e3857fd --- /dev/null +++ b/site/content/pages/datasets/facebook/index.md @@ -0,0 +1,32 @@ +------------ + +status: published +title: Facebook +desc: TBD +subdesc: TBD +image: assets/background.jpg +caption: TBD +slug: facebook +published: 2019-2-23 +updated: 2019-2-23 +color: #aaaaff +authors: Adam Harvey + +------------ + +### Statistics + ++ Years: 2002-2004 ++ Images: 13,233 ++ Identities: 5,749 ++ Origin: Yahoo News Images ++ Funding: (Possibly, partially CIA) + +---- + +Ignore content below these lines + +--- + + +- Tool to create face datasets from Facebook <https://github.com/ankitaggarwal011/FaceGrab> diff --git a/site/content/pages/datasets/helen/assets/background.jpg b/site/content/pages/datasets/helen/assets/background.jpg Binary files differnew file mode 100644 index 00000000..63ebb8c9 --- /dev/null +++ b/site/content/pages/datasets/helen/assets/background.jpg diff --git a/site/content/pages/datasets/helen/assets/index.jpg b/site/content/pages/datasets/helen/assets/index.jpg Binary files differnew file mode 100644 index 00000000..9e62679b --- /dev/null +++ b/site/content/pages/datasets/helen/assets/index.jpg diff --git a/site/content/pages/datasets/hrt_transgender/assets/background.jpg b/site/content/pages/datasets/hrt_transgender/assets/background.jpg Binary files differnew file mode 100644 index 00000000..9437c4ff --- /dev/null +++ b/site/content/pages/datasets/hrt_transgender/assets/background.jpg diff --git a/site/content/pages/datasets/hrt_transgender/assets/index.jpg b/site/content/pages/datasets/hrt_transgender/assets/index.jpg Binary files differnew file mode 100644 index 00000000..428ac42a --- /dev/null +++ b/site/content/pages/datasets/hrt_transgender/assets/index.jpg diff --git a/site/content/pages/datasets/ilids_vid/assets/background.jpg b/site/content/pages/datasets/ilids_vid/assets/background.jpg Binary files differnew file mode 100644 index 00000000..6acd30e8 --- /dev/null +++ b/site/content/pages/datasets/ilids_vid/assets/background.jpg diff --git a/site/content/pages/datasets/ilids_vid/assets/index.jpg b/site/content/pages/datasets/ilids_vid/assets/index.jpg Binary files differnew file mode 100644 index 00000000..66c80d7d --- /dev/null +++ b/site/content/pages/datasets/ilids_vid/assets/index.jpg diff --git a/site/content/pages/datasets/index.md b/site/content/pages/datasets/index.md new file mode 100644 index 00000000..fa012758 --- /dev/null +++ b/site/content/pages/datasets/index.md @@ -0,0 +1,22 @@ +------------ + +status: published +title: MegaPixels: Datasets +desc: Facial Recognition Datasets +slug: home +published: 2018-12-15 +updated: 2018-12-15 +authors: Adam Harvey +sync: false + +------------ + +# Facial Recognition Datasets + ++ Found: 275 datasets ++ Created between: 1993-2018 ++ Smallest dataset: 20 images ++ Largest dataset: 10,000,000 images + ++ Highest resolution faces: 450x500 (Unconstrained College Students) ++ Lowest resolution faces: 16x20 pixels (QMUL SurvFace) diff --git a/site/content/pages/datasets/lfw/assets/background.jpg b/site/content/pages/datasets/lfw/assets/background.jpg Binary files differnew file mode 100644 index 00000000..3ab1607d --- /dev/null +++ b/site/content/pages/datasets/lfw/assets/background.jpg diff --git a/site/content/pages/datasets/lfw/assets/index.jpg b/site/content/pages/datasets/lfw/assets/index.jpg Binary files differnew file mode 100644 index 00000000..bc36c106 --- /dev/null +++ b/site/content/pages/datasets/lfw/assets/index.jpg diff --git a/site/content/pages/datasets/lfw/assets/lfw_commercial_use.csv b/site/content/pages/datasets/lfw/assets/lfw_commercial_use.csv index 70e2fdeb..a2a4b39c 100644 --- a/site/content/pages/datasets/lfw/assets/lfw_commercial_use.csv +++ b/site/content/pages/datasets/lfw/assets/lfw_commercial_use.csv @@ -1,44 +1,44 @@ "name_display","company_url","example_url","country","description" -"Aratek","http://www.aratek.co/","","China","Biometric sensors for telecom, civil identification, finance, education, POS, and transportation" -"Asaphus","https://asaphus.de/","","Germany","Face recognition for home appliances and autonomous vehicles interaction" -"Aureus","https://cyberextruder.com/biometric-face-recognition-software-use-cases/","","USA","Retail loss prevention solutions, biometric access control, law enforcement and safe city applications, gaming and hospitality applications" +"Aratek","http://www.aratek.co/"," ","China","Biometric sensors for telecom, civil identification, finance, education, POS, and transportation" +"Asaphus","https://asaphus.de/"," ","Germany","Face recognition for home appliances and autonomous vehicles interaction" +"Aureus","https://cyberextruder.com/biometric-face-recognition-software-use-cases/"," ","USA","Retail loss prevention solutions, biometric access control, law enforcement and safe city applications, gaming and hospitality applications" "Baidu","http://research.baidu.com/institute-of-deep-learning/","https://www.newscientist.com/article/2113176-chinese-tourist-town-uses-face-recognition-as-an-entry-pass/","China","Retail payment, transportation, civil identification" -"Betaface","https://www.betaface.com/","","Germany","Web advertising and entertainment, video surveillance, security software, b2b software" -"Yi+AI","http://www.dress-plus.com/solution","","China","Scenario-based advertising, real-time personalized recommendation, character recognition for ads placement" -"CM-CV&AR","http://www.cloudminds.com/","","USA","Human augmented robot intelligence" -"Samtech","http://samtechinfonet.com/products_frs.php","","India","Facilities management, infrastructure support" -"ColorReco","http://www.colorreco.com/","","China","Face login verification, online payment security verification, access control system identity authentication and face recognition lock, mobile payment, driver fatigue recognition, virtual makeup" +"Betaface","https://www.betaface.com/"," ","Germany","Web advertising and entertainment, video surveillance, security software, b2b software" +"Yi+AI","http://www.dress-plus.com/solution"," ","China","Scenario-based advertising, real-time personalized recommendation, character recognition for ads placement" +"CM-CV&AR","http://www.cloudminds.com/"," ","USA","Human augmented robot intelligence" +"Samtech","http://samtechinfonet.com/products_frs.php"," ","India","Facilities management, infrastructure support" +"ColorReco","http://www.colorreco.com/"," ","China","Face login verification, online payment security verification, access control system identity authentication and face recognition lock, mobile payment, driver fatigue recognition, virtual makeup" "CloudWalk","www.cloudwalk.cn/","https://qz.com/africa/1287675/china-is-exporting-facial-recognition-to-africa-ensuring-ai-dominance-through-diversity/","China","Security and law enforcement. Being deployed in Zimbabwe" -"Cylltech","http://www.cylltech.com.cn/","","China","Conference management, social assistance, civil access, media orientation, precision marketing, scenic intelligence, tourism management" +"Cylltech","http://www.cylltech.com.cn/"," ","China","Conference management, social assistance, civil access, media orientation, precision marketing, scenic intelligence, tourism management" "Dahua-FaceImage","https://www.dahuasecurity.com/","https://www.dahuasecurity.com/solutions/solutionsbyapplication/23","China","Public security, public access control, finance" -"Daream","http://www.daream.com","","China","Fatigue and distraction detection for autonomous vehicles" -"Deepmark","https://deepmark.ru/","","Russia","Workplace access control" -"Easen Electron","http://www.easen-electron.com","","China","Face recognition door locks for automobiles" -"Ever AI","https://ever.ai/","","USA","Law enforcement, smart cities, surveillance, building security, retail, payments, autonomous vehicles, grocery stores, enhanced marketing" -"Facebook (Face.com)","https://en.wikipedia.org/wiki/Face.com","","USA","Sold to facebook in 2012, and now incorporated into DeepFace" -"Face++","https://www.faceplusplus.com/","","China","Audience engagement analysis, interactive marketing, gaming, photo album processing, security for mobile payments" -"Faceall","http://www.faceall.cn/index.en.html","","China","Internet banking, insurance, automated surveillance, access control, photo refinement, avatar creation" -"Faceter","https://faceter.io","","USA","Workforce attendence reporting and analytics, home video surveillance, retail customer behavior, GPU mining compatible" -"Facevisa","http://www.facevisa.com","","China","Face detection, face key point positioning, living body certification, facial attribute analysis" -"Fujitsu R&D","https://www.fujitsu.com/cn/en/about/local/subsidiaries/frdc/","","Japan","Consumer cameras" -"SenseTime","https://www.sensetime.com/","","Hong Kong","Surveillance, access control, image retrieval, and automatic log-on for personal computer or mobile devices" +"Daream","http://www.daream.com"," ","China","Fatigue and distraction detection for autonomous vehicles" +"Deepmark","https://deepmark.ru/"," ","Russia","Workplace access control" +"Easen Electron","http://www.easen-electron.com"," ","China","Face recognition door locks for automobiles" +"Ever AI","https://ever.ai/"," ","USA","Law enforcement, smart cities, surveillance, building security, retail, payments, autonomous vehicles, grocery stores, enhanced marketing" +"Facebook (Face.com)","https://en.wikipedia.org/wiki/Face.com"," ","USA","Sold to facebook in 2012, and now incorporated into DeepFace" +"Face++","https://www.faceplusplus.com/"," ","China","Audience engagement analysis, interactive marketing, gaming, photo album processing, security for mobile payments" +"Faceall","http://www.faceall.cn/index.en.html"," ","China","Internet banking, insurance, automated surveillance, access control, photo refinement, avatar creation" +"Faceter","https://faceter.io"," ","USA","Workforce attendence reporting and analytics, home video surveillance, retail customer behavior, GPU mining compatible" +"Facevisa","http://www.facevisa.com"," ","China","Face detection, face key point positioning, living body certification, facial attribute analysis" +"Fujitsu R&D","https://www.fujitsu.com/cn/en/about/local/subsidiaries/frdc/"," ","Japan","Consumer cameras" +"SenseTime","https://www.sensetime.com/"," ","Hong Kong","Surveillance, access control, image retrieval, and automatic log-on for personal computer or mobile devices" "Turing Robot","http://www.tuling123.com/","http://biz.turingos.cn/home","China","Emotion recognition and analysis for robots and toys, chatbots and digital assistants" "NEC","https://www.nec.com/en/press/201407/global_20140716_01.html","https://arxiv.org/abs/1212.6094","Japan","Law enforcement, event crowd monitoring, used specificallfy by Metropolitan police in UK" -"Aurora","http://auroracs.co.uk/","","UK","Face recognition in airports for security, queue management, x-ray divestment tray linkage" +"Aurora","http://auroracs.co.uk/"," ","UK","Face recognition in airports for security, queue management, x-ray divestment tray linkage" "VisionLabs","https://visionlabs.ai/","https://venturebeat.com/2016/07/07/russian-facial-recognition-startup-visionlabs-raises-5-5m-after-partnering-with-facebook-and-google/","Russia","Video surveillance, banking and finance, customer authentication for retail" -"Yunshitu","http://yunshitu.cn","","China","Security, Internet, broadcasting and other industries" -"Glasssix","http://www.glasssix.com/","","China","School attendance, workforce monitoring" +"Yunshitu","http://yunshitu.cn"," ","China","Security, Internet, broadcasting and other industries" +"Glasssix","http://www.glasssix.com/"," ","China","School attendance, workforce monitoring" "Hisign","http://www.hisign.com.cn/en-us/index.aspx","https://www.bloomberg.com/research/stocks/private/snapshot.asp?privcapId=52323181","China","Criminal investigation information application, and financial big data risk prevention and control products in China" "icarevision","http://www.icarevision.cn","https://www.bloomberg.com/research/stocks/private/snapshot.asp?privcapId=306707800","China","Video surveillance" "IntelliVision","https://www.intelli-vision.com/facial-recognition/","https://www.bloomberg.com/profiles/companies/0080393D:US-intellivision-technologies-corp","USA","Smart homes and buildings, smart security, smart city, smart retail, Smart auto" "Meiya Pico","https://meiyapico.com/","https://www.bloomberg.com/research/stocks/private/snapshot.asp?privcapId=117577345","China","Digital forensics and information security products and services in China" "Orion Star","https://www.ainirobot.com/#sixthPage","https://www.prnewswire.com/news-releases/orionstar-wins-challenge-to-recognize-one-million-celebrity-faces-with-artificial-intelligence-300494265.html","China","Face recognition for robots and livestream video censoring" -"Pegatron","http://www.pegatroncorp.com","","China","Workforce attendance" +"Pegatron","http://www.pegatroncorp.com"," ","China","Workforce attendance" "PingAn AI Lab","http://www.pingan.com/","https://www.biometricupdate.com/201703/ping-an-technology-developing-ai-face-recognition-technology-with-record-results","China","Financial services, lending" -"ReadSense","http://www.readsense.ai/","","China","Access control, traffic analysis, crowd analysis, head counting, drone vision, home appliances, community surveillance, custom attention analysis" -"sensingtech","www.sensingtech.com.cn","","China","Workplace entrypoint authentication" -"TCIT","http://www.tcit-us.com/?p=4023","","Taiwan","Retail analytics, workplace access control" -"TerminAI","terminai.com","","China","Smart office, smart city, smart gym, smart medical, smart community" -"Uni-Ubi","http://uni-ubi.com/","","China","Facial recognition for education, business, community, construction" -"Tencent YouTu Lab","http://bestimage.qq.com/","","China","Consumer applications for automatic facial beauty" -"Yuntu WiseSight","http://www.facelab.cn/","","China","Intrusion alarm, access control, access control, electronic patrol, and network alarm. detect suspicious personnel, real-name authentication, and public security, customs, airports, railways and other government security agencies, electronic patrol"
\ No newline at end of file +"ReadSense","http://www.readsense.ai/"," ","China","Access control, traffic analysis, crowd analysis, head counting, drone vision, home appliances, community surveillance, custom attention analysis" +"sensingtech","www.sensingtech.com.cn"," ","China","Workplace entrypoint authentication" +"TCIT","http://www.tcit-us.com/?p=4023"," ","Taiwan","Retail analytics, workplace access control" +"TerminAI","terminai.com"," ","China","Smart office, smart city, smart gym, smart medical, smart community" +"Uni-Ubi","http://uni-ubi.com/"," ","China","Facial recognition for education, business, community, construction" +"Tencent YouTu Lab","http://bestimage.qq.com/"," ","China","Consumer applications for automatic facial beauty" +"Yuntu WiseSight","http://www.facelab.cn/"," ","China","Intrusion alarm, access control, access control, electronic patrol, and network alarm. detect suspicious personnel, real-name authentication, and public security, customs, airports, railways and other government security agencies, electronic patrol"
\ No newline at end of file diff --git a/site/content/pages/datasets/lfw/assets/lfw_index.gif b/site/content/pages/datasets/lfw/assets/lfw_index.gif Binary files differdeleted file mode 100644 index 63a5c423..00000000 --- a/site/content/pages/datasets/lfw/assets/lfw_index.gif +++ /dev/null diff --git a/site/content/pages/datasets/lfw/assets/lfw_montage.jpg b/site/content/pages/datasets/lfw/assets/lfw_montage.jpg Binary files differdeleted file mode 100644 index 8d73c417..00000000 --- a/site/content/pages/datasets/lfw/assets/lfw_montage.jpg +++ /dev/null diff --git a/site/content/pages/datasets/lfw/assets/lfw_synthetic.jpg b/site/content/pages/datasets/lfw/assets/lfw_synthetic.jpg Binary files differdeleted file mode 100644 index c2a34043..00000000 --- a/site/content/pages/datasets/lfw/assets/lfw_synthetic.jpg +++ /dev/null diff --git a/site/content/pages/datasets/lfw/index.md b/site/content/pages/datasets/lfw/index.md index 1f847a2a..4161561d 100644 --- a/site/content/pages/datasets/lfw/index.md +++ b/site/content/pages/datasets/lfw/index.md @@ -2,60 +2,64 @@ status: published title: Labeled Faces in The Wild -desc: LFW: Labeled Faces in The Wild +desc: Labeled Faces in The Wild (LFW) is a database of face photographs designed for studying the problem of unconstrained face recognition. +subdesc: It includes 13,456 images of 4,432 people’s images copied from the Internet during 2002-2004. +image: assets/background.jpg +caption: A few of the 5,749 people in the Labeled Faces in the Wild Dataset. The most widely used face dataset for benchmarking commercial face recognition algorithms. slug: lfw published: 2019-2-23 updated: 2019-2-23 +color: #ff0000 authors: Adam Harvey ------------ -# LFW +### Statistics + Years: 2002-2004 + Images: 13,233 + Identities: 5,749 + Origin: Yahoo News Images -+ Funding: (Possibly, partially CIA*) ++ Funding: (Possibly, partially CIA) - - -*Labeled Faces in The Wild* (LFW) is "a database of face photographs designed for studying the problem of unconstrained face recognition[^lfw_www]. It is used to evaluate and improve the performance of facial recognition algorithms in academic, commercial, and government research. According to BiometricUpdate.com[^lfw_pingan], LFW is "the most widely used evaluation set in the field of facial recognition, LFW attracts a few dozen teams from around the globe including Google, Facebook, Microsoft Research Asia, Baidu, Tencent, SenseTime, Face++ and Chinese University of Hong Kong." - -The LFW dataset includes 13,233 images of 5,749 people that were collected between 2002-2004. LFW is a subset of *Names of Faces* and is part of the first facial recognition training dataset created entirely from images appearing on the Internet. The people appearing in LFW are... - -The *Names and Faces* dataset was the first face recognition dataset created entire from online photos. However, *Names and Faces* and *LFW* are not the first face recognition dataset created entirely "in the wild". That title belongs to the [UCD dataset](/datasets/ucd_faces/). Images obtained "in the wild" means using an image without explicit consent or awareness from the subject or photographer. - - -### Analysis +### INSIGHTS - There are about 3 men for every 1 woman (4,277 men and 1,472 women) in the LFW dataset[^lfw_www] - The person with the most images is [George W. Bush](http://vis-www.cs.umass.edu/lfw/person/George_W_Bush_comp.html) with 530 - There are about 3 George W. Bush's for every 1 [Tony Blair](http://vis-www.cs.umass.edu/lfw/person/Tony_Blair.html) -- 70% of people in the dataset have only 1 image and 29% have 2 or more images - The LFW dataset includes over 500 actors, 30 models, 10 presidents, 124 basketball players, 24 football players, 11 kings, 7 queens, and 1 [Moby](http://vis-www.cs.umass.edu/lfw/person/Moby.html) - In all 3 of the LFW publications [^lfw_original_paper], [^lfw_survey], [^lfw_tech_report] the words "ethics", "consent", and "privacy" appear 0 times - The word "future" appears 71 times -### Synthetic Faces +## Labeled Faces in the Wild -To visualize the types of photos in the dataset without explicitly publishing individual's identities a generative adversarial network (GAN) was trained on the entire dataset. The images in this video show a neural network learning the visual latent space and then interpolating between archetypical identities within the LFW dataset. +*Labeled Faces in The Wild* (LFW) is "a database of face photographs designed for studying the problem of unconstrained face recognition[^lfw_www]. It is used to evaluate and improve the performance of facial recognition algorithms in academic, commercial, and government research. According to BiometricUpdate.com[^lfw_pingan], LFW is "the most widely used evaluation set in the field of facial recognition, LFW attracts a few dozen teams from around the globe including Google, Facebook, Microsoft Research Asia, Baidu, Tencent, SenseTime, Face++ and Chinese University of Hong Kong." - +The LFW dataset includes 13,233 images of 5,749 people that were collected between 2002-2004. LFW is a subset of *Names of Faces* and is part of the first facial recognition training dataset created entirely from images appearing on the Internet. The people appearing in LFW are... +The *Names and Faces* dataset was the first face recognition dataset created entire from online photos. However, *Names and Faces* and *LFW* are not the first face recognition dataset created entirely "in the wild". That title belongs to the [UCD dataset](/datasets/ucd_faces/). Images obtained "in the wild" means using an image without explicit consent or awareness from the subject or photographer. ### Biometric Trade Routes -To understand how this dataset has been used, its citations have been geocoded to show an approximate geographic digital trade route of the biometric data. Lines indicate an organization (education, commercial, or governmental) that has cited the LFW dataset in their research. Data is compiled from [SemanticScholar](https://www.semanticscholar.org). +To understand how this dataset has been used, its citations have been geocoded to show an approximate geographic digital trade route of the biometric data. Lines indicate an organization (education, commercial, or governmental) that has cited the LFW dataset in their research. Data is compiled from [Semantic Scholar](https://www.semanticscholar.org). -[add map here] +``` +map +``` + +### Synthetic Faces + +To visualize the types of photos in the dataset without explicitly publishing individual's identities a generative adversarial network (GAN) was trained on the entire dataset. The images in this video show a neural network learning the visual latent space and then interpolating between archetypical identities within the LFW dataset. + + ### Citations Browse or download the geocoded citation data collected for the LFW dataset. -[add citations table here] - +``` +citations +``` ### Additional Information @@ -67,27 +71,14 @@ Browse or download the geocoded citation data collected for the LFW dataset. - The faces in the LFW dataset were detected using the Viola-Jones haarcascade face detector [^lfw_website] [^lfw-survey] - The LFW dataset is used by several of the largest tech companies in the world including "Google, Facebook, Microsoft Research Asia, Baidu, Tencent, SenseTime, Face++ and Chinese University of Hong Kong." [^lfw_pingan] - All images in the LFW dataset were copied from Yahoo News between 2002 - 2004 -<<<<<<< HEAD -- In 2014, two of the four original authors of the LFW dataset received funding from IARPA and ODNI for their follow up paper [Labeled Faces in the Wild: Updates and New Reporting Procedures](https://www.semanticscholar.org/paper/Labeled-Faces-in-the-Wild-%3A-Updates-and-New-Huang-Learned-Miller/2d3482dcff69c7417c7b933f22de606a0e8e42d4) via IARPA contract number 2014-14071600010 +- In 2014, two of the four original authors of the LFW dataset received funding from IARPA and ODNI for their followup paper [Labeled Faces in the Wild: Updates and New Reporting Procedures](https://www.semanticscholar.org/paper/Labeled-Faces-in-the-Wild-%3A-Updates-and-New-Huang-Learned-Miller/2d3482dcff69c7417c7b933f22de606a0e8e42d4) via IARPA contract number 2014-14071600010 - The dataset includes 2 images of [George Tenet](http://vis-www.cs.umass.edu/lfw/person/George_Tenet.html), the former Director of Central Intelligence (DCI) for the Central Intelligence Agency whose facial biometrics were eventually used to help train facial recognition software in China and Russia -======= -- In 2014, 2/4 of the original authors of the LFW dataset received funding from IARPA and ODNI for their follow up paper "Labeled Faces in the Wild: Updates and New Reporting Procedures" via IARPA contract number 2014-14071600010 -- The LFW dataset was used Center for Intelligent Information Retrieval, the Central Intelligence Agency, the National Security Agency and National - -TODO (need citations for the following) - -- SenseTime, who has relied on LFW for benchmarking their facial recognition performance, is one the leading provider of surveillance to the Chinese Government [need citation for this fact. is it the most? or is that Tencent?] -- Two out of 4 of the original authors received funding from the Office of Director of National Intelligence and IARPA for their 2016 LFW survey follow up report - ->>>>>>> 13d7a450affe8ea4f368a97ea2014faa17702a4c    - - ## Code The LFW dataset is so widely used that a popular code library called Sci-Kit Learn includes a function called `fetch_lfw_people` to download the faces in the LFW dataset. @@ -131,7 +122,6 @@ imageio.imwrite('lfw_montage_960.jpg', montage) ### Supplementary Material - ``` load_file assets/lfw_commercial_use.csv name_display, company_url, example_url, country, description @@ -139,14 +129,14 @@ name_display, company_url, example_url, country, description Text and graphics ©Adam Harvey / megapixels.cc - ------- Ignore text below these lines ------- -Research + +### Research - "In our experiments, we used 10000 images and associated captions from the Faces in the wilddata set [3]." - "This work was supported in part by the Center for Intelligent Information Retrieval, the Central Intelligence Agency, the National Security Agency and National Science Foundation under CAREER award IIS-0546666 and grant IIS-0326249." @@ -156,7 +146,11 @@ Research - This research is based upon work supported in part by the Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA), via contract number 2014-14071600010. - From "Labeled Faces in the Wild: Updates and New Reporting Procedures" +- 70% of people in the dataset have only 1 image and 29% have 2 or more images + +### Footnotes [^lfw_www]: <http://vis-www.cs.umass.edu/lfw/results.html> [^lfw_baidu]: Jingtuo Liu, Yafeng Deng, Tao Bai, Zhengping Wei, Chang Huang. Targeting Ultimate Accuracy: Face Recognition via Deep Embedding. <https://arxiv.org/abs/1506.07310> [^lfw_pingan]: Lee, Justin. "PING AN Tech facial recognition receives high score in latest LFW test results". BiometricUpdate.com. Feb 13, 2017. <https://www.biometricupdate.com/201702/ping-an-tech-facial-recognition-receives-high-score-in-latest-lfw-test-results> + diff --git a/site/content/pages/datasets/mars/assets/background.jpg b/site/content/pages/datasets/mars/assets/background.jpg Binary files differnew file mode 100644 index 00000000..f3440590 --- /dev/null +++ b/site/content/pages/datasets/mars/assets/background.jpg diff --git a/site/content/pages/datasets/mars/assets/index.jpg b/site/content/pages/datasets/mars/assets/index.jpg Binary files differnew file mode 100644 index 00000000..e866defd --- /dev/null +++ b/site/content/pages/datasets/mars/assets/index.jpg diff --git a/site/content/pages/datasets/pubfig/assets/background.jpg b/site/content/pages/datasets/pubfig/assets/background.jpg Binary files differnew file mode 100644 index 00000000..db748a8f --- /dev/null +++ b/site/content/pages/datasets/pubfig/assets/background.jpg diff --git a/site/content/pages/datasets/pubfig/assets/index.jpg b/site/content/pages/datasets/pubfig/assets/index.jpg Binary files differnew file mode 100644 index 00000000..2470b35c --- /dev/null +++ b/site/content/pages/datasets/pubfig/assets/index.jpg diff --git a/site/content/pages/datasets/uccs/assets/background.jpg b/site/content/pages/datasets/uccs/assets/background.jpg Binary files differnew file mode 100644 index 00000000..db6b0180 --- /dev/null +++ b/site/content/pages/datasets/uccs/assets/background.jpg diff --git a/site/content/pages/datasets/uccs/assets/index.jpg b/site/content/pages/datasets/uccs/assets/index.jpg Binary files differnew file mode 100644 index 00000000..9809e564 --- /dev/null +++ b/site/content/pages/datasets/uccs/assets/index.jpg diff --git a/site/content/pages/datasets/uccs/index.md b/site/content/pages/datasets/uccs/index.md index d40dce22..be1d2474 100644 --- a/site/content/pages/datasets/uccs/index.md +++ b/site/content/pages/datasets/uccs/index.md @@ -68,7 +68,7 @@ The more recent UCCS version of the dataset received funding from [^funding_uccs - You are welcomed to use these images for academic and journalistic use including for research papers, news stories, presentations. - Please use the following citation: -```MegaPixels.cc Adam Harvey 2013-2109.``` +```MegaPixels.cc Adam Harvey 2013-2019.``` [^funding_sb]: Sapkota, Archana and Boult, Terrance. "Large Scale Unconstrained Open Set Face Database." 2013. [^funding_uccs]: Günther, M. et. al. "Unconstrained Face Detection and Open-Set Face Recognition Challenge," 2018. Arxiv 1708.02337v3.
\ No newline at end of file diff --git a/site/content/pages/datasets/ucf_selfie/assets/background.jpg b/site/content/pages/datasets/ucf_selfie/assets/background.jpg Binary files differnew file mode 100644 index 00000000..877133e5 --- /dev/null +++ b/site/content/pages/datasets/ucf_selfie/assets/background.jpg diff --git a/site/content/pages/datasets/ucf_selfie/assets/background_02.jpg b/site/content/pages/datasets/ucf_selfie/assets/background_02.jpg Binary files differnew file mode 100644 index 00000000..1e092f61 --- /dev/null +++ b/site/content/pages/datasets/ucf_selfie/assets/background_02.jpg diff --git a/site/content/pages/datasets/ucf_selfie/assets/index.jpg b/site/content/pages/datasets/ucf_selfie/assets/index.jpg Binary files differnew file mode 100644 index 00000000..4837f6e3 --- /dev/null +++ b/site/content/pages/datasets/ucf_selfie/assets/index.jpg diff --git a/site/content/pages/datasets/ucf_selfie/assets/index_02.jpg b/site/content/pages/datasets/ucf_selfie/assets/index_02.jpg Binary files differnew file mode 100644 index 00000000..524340d7 --- /dev/null +++ b/site/content/pages/datasets/ucf_selfie/assets/index_02.jpg diff --git a/site/content/pages/datasets/viper/assets/background.jpg b/site/content/pages/datasets/viper/assets/background.jpg Binary files differnew file mode 100644 index 00000000..db0b2857 --- /dev/null +++ b/site/content/pages/datasets/viper/assets/background.jpg diff --git a/site/content/pages/datasets/ytmu/assets/index.jpg b/site/content/pages/datasets/ytmu/assets/index.jpg Binary files differnew file mode 100644 index 00000000..76716847 --- /dev/null +++ b/site/content/pages/datasets/ytmu/assets/index.jpg diff --git a/site/content/pages/datasets/ytmu/assets/index_02.jpg b/site/content/pages/datasets/ytmu/assets/index_02.jpg Binary files differnew file mode 100644 index 00000000..30c863f6 --- /dev/null +++ b/site/content/pages/datasets/ytmu/assets/index_02.jpg diff --git a/site/content/pages/datasets/ytmu/assets/index_03.jpg b/site/content/pages/datasets/ytmu/assets/index_03.jpg Binary files differnew file mode 100644 index 00000000..20ccae90 --- /dev/null +++ b/site/content/pages/datasets/ytmu/assets/index_03.jpg diff --git a/site/content/pages/datasets/ytmu/assets/index_04.jpg b/site/content/pages/datasets/ytmu/assets/index_04.jpg Binary files differnew file mode 100644 index 00000000..3d67baac --- /dev/null +++ b/site/content/pages/datasets/ytmu/assets/index_04.jpg diff --git a/site/content/pages/index.md b/site/content/pages/index.md index d63cf9fa..1cf47aac 100644 --- a/site/content/pages/index.md +++ b/site/content/pages/index.md @@ -1,30 +1,14 @@ ------------ status: published -title: MegaPixels -desc: -slug: home +title: Megapixels +desc: The Darkside of Datasets +slug: analysis published: 2018-12-15 updated: 2018-12-15 authors: Adam Harvey sync: false - ------------- - -## Facial Recognition Datasets - -Regular Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. -### Summary - -+ Found: 275 datasets -+ Created between: 1993-2018 -+ Smallest dataset: 20 images -+ Largest dataset: 10,000,000 images - -+ Highest resolution faces: 450x500 (Unconstrained College Students) -+ Lowest resolution faces: 16x20 pixels (QMUL SurvFace) +------------ -``` -load_file https://megapixels.nyc3.digitaloceanspaces.com/v1/citations/datasets.csv -``` +## diff --git a/site/content/pages/info/index.md b/site/content/pages/info/index.md index 4a65e71a..090783d9 100644 --- a/site/content/pages/info/index.md +++ b/site/content/pages/info/index.md @@ -11,7 +11,7 @@ sync: false ------------ -## What do facial recognition algorithms see? +## Face Analysis ``` face_analysis diff --git a/site/content/pages/research/00_introduction/index.md b/site/content/pages/research/00_introduction/index.md index d3ef506b..6fec7ab5 100644 --- a/site/content/pages/research/00_introduction/index.md +++ b/site/content/pages/research/00_introduction/index.md @@ -15,6 +15,19 @@ authors: Megapixels + Posted: Dec. 15 + Author: Adam Harvey + +Ever since the first computational facial recognition research project by the CIA in the early 1960s, data has always played a vital role in the development of our biometric future. Without facial recognition datasets there would be no facial recognition. Datasets are an indispensable part of any artificial intelligence system because, as Geoffrey Hinton points out: +> Our relationship to computers has changed. Instead of programming them, we now show them and they figure it out. - [Geoffrey Hinton](https://www.youtube.com/watch?v=-eyhCTvrEtE) + +Algorithms learn from datasets. And we program algorithms by building datasets. But datasets aren't like code. There's no programming language made of data except for the data itself. + +----- + +Ignore content below these lines + +----- +
+ It was the early 2000s. Face recognition was new and no one seemed sure exactly how well it was going to perform in practice. In theory, face recognition was poised to be a game changer, a force multiplier, a strategic military advantage, a way to make cities safer and to secure borders. This was the future John Ashcroft demanded with the Total Information Awareness act of the 2003 and that spooks had dreamed of for decades. It was a future that academics at Carnegie Mellon Universtiy and Colorado State University would help build. It was also a future that celebrities would play a significant role in building. And to the surprise of ordinary Internet users like myself and perhaps you, it was a future that millions of Internet users would unwittingly play role in creating. Now the future has arrived and it doesn't make sense. Facial recognition works yet it doesn't actually work. Facial recognition is cheap and accessible but also expensive and out of control. Facial recognition research has achieved headline grabbing superhuman accuracies over 99.9% yet facial recognition is also dangerously inaccurate. During a trial installation at Sudkreuz station in Berlin in 2018, 20% of the matches were wrong, a number so low that it should not have any connection to law enforcement or justice. And in London, the Metropolitan police had been using facial recognition software that mistakenly identified an alarming 98% of people as criminals [^met_police], which perhaps is a crime itself. @@ -33,16 +46,6 @@ As McLuhan wrote, "You can't have a static, fixed position in the electric age". Like many projects, MegaPixels had spent years meandering between formats, unfeasible budgets, and was generally too niche of a subject. The basic idea for this project, as proposed to the original [Glass Room](https://tacticaltech.org/projects/the-glass-room-nyc/) installation in 2016 in NYC, was to build an interactive mirror that showed people if they had been included in the [LFW](/datasets/lfw) facial recognition dataset. The idea was based on my reaction to all the datasets I'd come across during research for the CV Dazzle project. I'd noticed strange datasets created for training and testing face detection algorithms. Most were created in labratory settings and their interpretation of face data was very strict. -About the name - -About the funding - -About me - -About the team - -Conclusion - ### for other post diff --git a/site/content/pages/research/01_from_1_to_100_pixels/index.md b/site/content/pages/research/01_from_1_to_100_pixels/index.md index 3a46bccb..409dcf02 100644 --- a/site/content/pages/research/01_from_1_to_100_pixels/index.md +++ b/site/content/pages/research/01_from_1_to_100_pixels/index.md @@ -52,4 +52,6 @@ Ideas: - NIST report on sres states several resolutions - "Results show that the tested face recognition systems yielded similar performance for query sets with eye-to-eye distance from 60 pixels to 30 pixels" [^nist_sres] -[^nist_sres]: NIST 906932. Performance Assessment of Face Recognition Using Super-Resolution. Shuowen Hu, Robert Maschal, S. Susan Young, Tsai Hong Hong, Jonathon P. Phillips
\ No newline at end of file +[^nist_sres]: NIST 906932. Performance Assessment of Face Recognition Using Super-Resolution. Shuowen Hu, Robert Maschal, S. Susan Young, Tsai Hong Hong, Jonathon P. Phillips + +- "Note that we only keep the images with a minimal side length of 80 pixels." and "a face will be labeled as “Ignore” if it is very difficult to be detected due to blurring, severe deformation and unrecognizable eyes, or the side length of its bounding box is less than 32 pixels." Ge_Detecting_Masked_Faces_CVPR_2017_paper.pdf
\ No newline at end of file |
