MegaPixels: Adience

Date: Thu, 4 Jul 2019 02:16:25 +0200 Subject: update msc --- site/public/about/news/index.html | 1 + site/public/datasets/adience/index.html | 175 +++++++++++++++++++++ site/public/datasets/lfpw/index.html | 169 ++++++++++++++++++++ site/public/datasets/megaface (copy)/index.html | 172 ++++++++++++++++++++ site/public/datasets/pipa/index.html | 175 +++++++++++++++++++++ .../research/munich_security_conference/index.html | 10 +- 6 files changed, 698 insertions(+), 4 deletions(-) create mode 100644 site/public/datasets/adience/index.html create mode 100644 site/public/datasets/lfpw/index.html create mode 100644 site/public/datasets/megaface (copy)/index.html create mode 100644 site/public/datasets/pipa/index.html (limited to 'site/public') diff --git a/site/public/about/news/index.html b/site/public/about/news/index.html index de44468e..ed3111fc 100644 --- a/site/public/about/news/index.html +++ b/site/public/about/news/index.html @@ -66,6 +66,7 @@

Since launching MegaPixels in April 2019, several of the datasets mentioned have disappeared and one surveillance workshop was canceled (then uncanceled).B elow is a timeline of events, responses, reactions, and press:

June 2019

June 26: The Atlantic on datasets, and research ethics: Universities Record Students on Campuses for Research by Sidney Fussell
June 24: Les Echos (FR) writes about MS Celeb dataset and Le mariage explosif de nos données et de l'IA (The explosive combination of our data and AI)
June 22: La Stamp (Italy) writes about Microsoft's removal of the MS Celeb dataset
June 15: De Tijd (Belgium) writes about Brainwash head dataset

MegaPixels: Adience

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MegaPixels

Adience Benchmark Dataset

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+ Datasets + About + Research +

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Adience ...

Adience ... +

Adience

[ page under development ]

Who used Adience Benchmark Dataset?

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+ This bar chart presents a ranking of the top countries where dataset citations originated. Mouse over individual columns to see yearly totals. These charts show at most the top 10 countries. +

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Information Supply chain

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+ 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 biometric trade routes of people appearing in the images. Click on the markers to reveal research projects at that location. +

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Academic
Commercial
Military / Government

Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.

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Dataset Citations

+ The dataset citations used in the visualizations were collected from Semantic Scholar, a website which aggregates and indexes research papers. Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms. If you use our data, please cite our work. +

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Supplementary Information

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Cite Our Work

+ + If you find this analysis helpful, please cite our work: + +

+@online{megapixels,
+  author = {Harvey, Adam. LaPlace, Jules.},
+  title = {MegaPixels: Origins, Ethics, and Privacy Implications of Publicly Available Face Recognition Image Datasets},
+  year = 2019,
+  url = {https://megapixels.cc/},
+  urldate = {2019-04-18}
+}

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MegaPixels: Labeled Face Parts in the Wild Dataset

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MegaPixels

LFPW

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+ Datasets + About + Research +

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Labeled Face Parts in the Wild Dataset

Labeled Face Parts in the Wild ... +

Labeled Face Parts in the Wild

[ page under development ]

Who used LFPW?

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+ This bar chart presents a ranking of the top countries where dataset citations originated. Mouse over individual columns to see yearly totals. These charts show at most the top 10 countries. +

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Information Supply chain

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+ 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 biometric trade routes of people appearing in the images. Click on the markers to reveal research projects at that location. +

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Academic
Commercial
Military / Government

Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.

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+ +

Dataset Citations

+ +

Supplementary Information

+ +

Cite Our Work

+ + If you find this analysis helpful, please cite our work: + +

+@online{megapixels,
+  author = {Harvey, Adam. LaPlace, Jules.},
+  title = {MegaPixels: Origins, Ethics, and Privacy Implications of Publicly Available Face Recognition Image Datasets},
+  year = 2019,
+  url = {https://megapixels.cc/},
+  urldate = {2019-04-18}
+}

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MegaPixels: MegaFace

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MegaPixels

MegaFace Dataset

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+ Datasets + About + Research +

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MegaFace Dataset

MegaFace contains 670K identities and 4.7M images +

MegaFace

[ page under development ]

Who used MegaFace Dataset?

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+ This bar chart presents a ranking of the top countries where dataset citations originated. Mouse over individual columns to see yearly totals. These charts show at most the top 10 countries. +

+ +

Information Supply chain

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+ To help understand how MegaFace Dataset has been used around the world by commercial, military, and academic organizations; existing publicly available research citing MegaFace Dataset was collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal research projects at that location. +

+ +

Academic
Commercial
Military / Government

Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.

+ + +

+ +

Dataset Citations

+ +

Supplementary Information

+ +

Cite Our Work

+ + If you find this analysis helpful, please cite our work: + +

+@online{megapixels,
+  author = {Harvey, Adam. LaPlace, Jules.},
+  title = {MegaPixels: Origins, Ethics, and Privacy Implications of Publicly Available Face Recognition Image Datasets},
+  year = 2019,
+  url = {https://megapixels.cc/},
+  urldate = {2019-04-18}
+}

+ +

MegaPixels: PIPA

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MegaPixels

PIPA Dataset

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+ Datasets + About + Research +

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PIPA ...

PIPA ... +

MegaFace

[ page under development ]

Who used PIPA Dataset?

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+ This bar chart presents a ranking of the top countries where dataset citations originated. Mouse over individual columns to see yearly totals. These charts show at most the top 10 countries. +

+ +

Information Supply chain

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+ 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 biometric trade routes of people appearing in the images. Click on the markers to reveal research projects at that location. +

+ +

Academic
Commercial
Military / Government

Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.

+ + +

+ +

Dataset Citations

+ +

Supplementary Information

+ +

Cite Our Work

+ + If you find this analysis helpful, please cite our work: + +

+@online{megapixels,
+  author = {Harvey, Adam. LaPlace, Jules.},
+  title = {MegaPixels: Origins, Ethics, and Privacy Implications of Publicly Available Face Recognition Image Datasets},
+  year = 2019,
+  url = {https://megapixels.cc/},
+  urldate = {2019-04-18}
+}

+ +

24 Million Non-Cooperative Faces

In total, we analyzed 30 publicly available face recognition and face analysis datasets that collectively include over 24 million non-cooperative images. 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".

Next we manually verified 1,134 publicly available research papers that cite these datasets to determine who was using the data and where it was being used. Even though the vast majority of the images originated in the United States, the publicly available research citations show that only about 25% citations are from the country of the origin while the majority of citations are from China.

6,000 Embassy Photos Being Used To Train Facial Recognition

Of the 5.8 million Flickr images we found over 6,000 public photos from Embassy Flickr accounts were used to train facial recognition technologies. These images were used in the MegaFace and IBM Diversity in Faces datasets. Over 2,000 more images were included in the Who Goes There dataset, used for facial ethnicity analysis research. A few of the embassy images found in facial recognition datasets are shown below.

Over 6,000 Embassy Photos Found in Facial Recognition Training Datasets

Of the 5.8 million Flickr images in publicly available face recognition training datasets there were over 6,000 photos from Embassy Flickr accounts. These images were mainly used in the MegaFace and IBM Diversity in Faces datasets. Over 2,000 more images were included in the Who Goes There dataset, used for facial ethnicity analysis research for a total over 8,000 embassy images used in facial analysis studies. A few of the embassy images found in facial recognition datasets are shown below.

An image in the MegaFace dataset obtained from United Kingdom's Embassy in Italy

An image in the MegaFace dataset obtained from the Flickr account of the United States Embassy in Kabul, Afghanistan

An image in the MegaFace dataset obtained from U.S. Embassy Canberra

This brief research aims to shed light on the emerging politics of data. A photo is no longer just a photo when it can also be surveillance training data, and datasets can no longer be separated from the development of software when software is now built with data. "Our relationship to computers has changed", says Geoffrey Hinton, one of the founders of modern day neural networks and deep learning. "Instead of programming them, we now show them and they figure it out." 1.

An image in the MegaFace dataset obtained from the Flickr account of the United States Embassy in Kabul, Afghanistan

An image in the MegaFace dataset obtained from U.S. Embassy Canberra

An image in the MegaFace dataset obtained from US Embassy Tokyo Flickr account

An image in the MegaFace dataset obtained from U.S. Embassy Kingston Jamaica

As data becomes more political, national AI strategies might also want to include transnational dataset strategies.

This research post is ongoing and will updated during July and August, 2019.

Supplementary Information

The list of of embassies used for this analysis are from the U.S. Department of State’s Social Media Presence List combined with manual search results. In some cases, the official U.S. Dept. of State list describes consulates and missions as embassies. For example, the US Consulate Munich, the US Mission Canada and is marked as "EMBASSY". Only consulates and missions listed as embassies by the U.S. Dept. of State list are included in this analysis.

Cite Our Work

-- cgit v1.2.3-70-g09d2

June 2019

Adience

Who used Adience Benchmark Dataset?

Information Supply chain

Dataset Citations

Supplementary Information

Cite Our Work

Labeled Face Parts in the Wild

Who used LFPW?

Information Supply chain

Dataset Citations

Supplementary Information

Cite Our Work

MegaFace

Who used MegaFace Dataset?

Information Supply chain

Dataset Citations

Supplementary Information

Cite Our Work

MegaFace

Who used PIPA Dataset?

Information Supply chain

Dataset Citations

Supplementary Information

Cite Our Work

24 Million Non-Cooperative Faces

6,000 Embassy Photos Being Used To Train Facial Recognition

Over 6,000 Embassy Photos Found in Facial Recognition Training Datasets

Further Reading

Supplementary Information

Cite Our Work