From a952926378fbdac594c80e6f956b44a8fd87a1cf Mon Sep 17 00:00:00 2001 From: Jules Laplace Date: Sat, 9 Mar 2019 00:14:13 +0100 Subject: update --- .../datasets/50_people_one_question/index.html | 54 +++++++++++++++++++ site/public/datasets/brainwash/index.html | 2 +- site/public/datasets/celeba/index.html | 60 ++++++++++++++++++++++ site/public/datasets/cofw/index.html | 2 +- site/public/datasets/index.html | 38 +++++++++++++- site/public/datasets/lfw/index.html | 2 +- site/public/datasets/mars/index.html | 54 +++++++++++++++++++ 7 files changed, 208 insertions(+), 4 deletions(-) create mode 100644 site/public/datasets/50_people_one_question/index.html create mode 100644 site/public/datasets/celeba/index.html create mode 100644 site/public/datasets/mars/index.html (limited to 'site') diff --git a/site/public/datasets/50_people_one_question/index.html b/site/public/datasets/50_people_one_question/index.html new file mode 100644 index 00000000..e0b3581a --- /dev/null +++ b/site/public/datasets/50_people_one_question/index.html @@ -0,0 +1,54 @@ + + + + MegaPixels + + + + + + + + + + + + +
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MegaPixels
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People One Question is a dataset of people from an online video series on YouTube and Vimeo used for building facial recogntion algorithms
People One Question dataset includes ... +
Collected
TBD
Published
TBD
Images
TBD
Faces
TBD

50 People 1 Question

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At vero eos et accusamus et iusto odio dignissimos ducimus, qui blanditiis praesentium voluptatum deleniti atque corrupti, quos dolores et quas molestias excepturi sint, obcaecati cupiditate non-provident, similique sunt in culpa, qui officia deserunt mollitia animi, id est laborum et dolorum fuga. Et harum quidem rerum facilis est et expedita distinctio.

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Nam libero tempore, cum soluta nobis est eligendi optio, cumque nihil impedit, quo minus id, quod maxime placeat, facere possimus, omnis voluptas assumenda est, omnis dolor repellendus. Temporibus autem quibusdam et aut officiis debitis aut rerum necessitatibus saepe eveniet, ut et voluptates repudiandae sint et molestiae non-recusandae. Itaque earum rerum hic tenetur a sapiente delectus, ut aut reiciendis voluptatibus maiores alias consequatur aut perferendis doloribus asperiores repellat

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Biometric Trade Routes (beta)

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

Academic
Industry
Government
Data is compiled from Semantic Scholar and not yet manually verified.

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

Supplementary Information

Citations

Citations were collected from Semantic Scholar, a website which aggregates and indexes research papers. Metadata was extracted from these papers, including extracting names of institutions automatically from PDFs, and then the addresses were geocoded. Data is not yet manually verified, and reflects anytime the paper was cited. Some papers may only mention the dataset in passing, while others use it as part of their research methodology.

Add button/link to download CSV

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+ + + + + \ No newline at end of file diff --git a/site/public/datasets/brainwash/index.html b/site/public/datasets/brainwash/index.html index b52cbca3..e1a01227 100644 --- a/site/public/datasets/brainwash/index.html +++ b/site/public/datasets/brainwash/index.html @@ -32,7 +32,7 @@

Brainwash is a face detection dataset created from the Brainwash Cafe's livecam footage including 11,918 images of "everyday life of a busy downtown cafe 1". The images are used to develop face detection algorithms for the "challenging task of detecting people in crowded scenes" and tracking them.

Before closing in 2017, Brainwash Cafe was a "cafe and laundromat" located in San Francisco's SoMA district. The cafe published a publicy available livestream from the cafe with a view of the cash register, performance stage, and seating area.

Since it's publication by Stanford in 2015, the Brainwash dataset has appeared in several notable research papers. In September 2016 four researchers from the National University of Defense Technology in Changsha, China used the Brainwash dataset for a research study on "people head detection in crowded scenes", concluding that their algorithm "achieves superior head detection performance on the crowded scenes dataset 2". And again in 2017 three researchers at the National University of Defense Technology used Brainwash for a study on object detection noting "the data set used in our experiment is shown in Table 1, which includes one scene of the brainwash dataset 3".

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An sample image from the Brainwash dataset used for training face and head detection algorithms for surveillance. The datset contains about 12,000 images. License: Open Data Commons Public Domain Dedication (PDDL)
An sample image from the Brainwash dataset used for training face and head detection algorithms for surveillance. The datset contains about 12,000 images. License: Open Data Commons Public Domain Dedication (PDDL)
49 of the 11,918 images included in the Brainwash dataset. License: Open Data Commons Public Domain Dedication (PDDL)
49 of the 11,918 images included in the Brainwash dataset. License: Open Data Commons Public Domain Dedication (PDDL)

Information Supply Chain

To understand how and where this dataset has been used, organizations using the dataset are plotted below. The data is generated by collecting all citations for all the original research papers associated with the dataset. The PDFs are then converted to text and the organization names are extracted and geocoded. Because of the automated approach to extracting data, not all organizations have been confirmed as using the dataset. This visualization is provided to help locate and confirm usage and will be updated as data noise is reduced.

Academic
Industry
Government
Data is compiled from Semantic Scholar and not yet manually verified.

Supplementary Information

Citations

Citations were collected from Semantic Scholar, a website which aggregates and indexes research papers. Metadata was extracted from these papers, including extracting names of institutions automatically from PDFs, and then the addresses were geocoded. Data is not yet manually verified, and reflects anytime the paper was cited. Some papers may only mention the dataset in passing, while others use it as part of their research methodology.

Add button/link to download CSV

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

Additional Information

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An sample image from the Brainwash dataset used for training face and head detection algorithms for surveillance. The datset contains about 12,000 images. License: Open Data Commons Public Domain Dedication (PDDL)
An sample image from the Brainwash dataset used for training face and head detection algorithms for surveillance. The datset contains about 12,000 images. License: Open Data Commons Public Domain Dedication (PDDL)
49 of the 11,918 images included in the Brainwash dataset. License: Open Data Commons Public Domain Dedication (PDDL)
49 of the 11,918 images included in the Brainwash dataset. License: Open Data Commons Public Domain Dedication (PDDL)

Biometric Trade Routes (beta)

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

Academic
Industry
Government
Data is compiled from Semantic Scholar and not yet manually verified.

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

Supplementary Information

Citations

Citations were collected from Semantic Scholar, a website which aggregates and indexes research papers. Metadata was extracted from these papers, including extracting names of institutions automatically from PDFs, and then the addresses were geocoded. Data is not yet manually verified, and reflects anytime the paper was cited. Some papers may only mention the dataset in passing, while others use it as part of their research methodology.

Add button/link to download CSV

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

Additional Information

diff --git a/site/public/datasets/celeba/index.html b/site/public/datasets/celeba/index.html new file mode 100644 index 00000000..d717d6f8 --- /dev/null +++ b/site/public/datasets/celeba/index.html @@ -0,0 +1,60 @@ + + + + MegaPixels + + + + + + + + + + + + +
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MegaPixels
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+ Datasets + Research + About +
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CelebA is a dataset of people...
CelebA includes... +
Collected
TBD
Published
TBD
Images
TBD
Faces
TBD

CelebA

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At vero eos et accusamus et iusto odio dignissimos ducimus, qui blanditiis praesentium voluptatum deleniti atque corrupti, quos dolores et quas molestias excepturi sint, obcaecati cupiditate non-provident, similique sunt in culpa, qui officia deserunt mollitia animi, id est laborum et dolorum fuga. Et harum quidem rerum facilis est et expedita distinctio.

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Nam libero tempore, cum soluta nobis est eligendi optio, cumque nihil impedit, quo minus id, quod maxime placeat, facere possimus, omnis voluptas assumenda est, omnis dolor repellendus. Temporibus autem quibusdam et aut officiis debitis aut rerum necessitatibus saepe eveniet, ut et voluptates repudiandae sint et molestiae non-recusandae. Itaque earum rerum hic tenetur a sapiente delectus, ut aut reiciendis voluptatibus maiores alias consequatur aut perferendis doloribus asperiores repellat

+

Biometric Trade Routes (beta)

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

Academic
Industry
Government
Data is compiled from Semantic Scholar and not yet manually verified.

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

Supplementary Information

Citations

Citations were collected from Semantic Scholar, a website which aggregates and indexes research papers. Metadata was extracted from these papers, including extracting names of institutions automatically from PDFs, and then the addresses were geocoded. Data is not yet manually verified, and reflects anytime the paper was cited. Some papers may only mention the dataset in passing, while others use it as part of their research methodology.

Add button/link to download CSV

Research

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    +
  • "An Unsupervised Approach to Solving Inverse Problems using Generative Adversarial Networks" mentions use by sponsored by an agency of the United States government. Neither the United States government nor Lawrence Livermore National Security, LLC, nor any of their"
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  • 7dab6fbf42f82f0f5730fc902f72c3fb628ef2f0
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  • principal responsibility is ensuring the safety, security and reliability of the nation's nuclear weapons NNSA ( National Nuclear Security Administration )
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+ + + + + \ No newline at end of file diff --git a/site/public/datasets/cofw/index.html b/site/public/datasets/cofw/index.html index b4addd20..2d8938c5 100644 --- a/site/public/datasets/cofw/index.html +++ b/site/public/datasets/cofw/index.html @@ -41,7 +41,7 @@ To increase the number of training images, and since COFW has the exact same la

This research is supported by NSF Grant 0954083 and by the Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA), via IARPA R&D Contract No. 2014-14071600012.

https://www.cs.cmu.edu/~peiyunh/topdown/

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Information Supply Chain

To understand how and where this dataset has been used, organizations using the dataset are plotted below. The data is generated by collecting all citations for all the original research papers associated with the dataset. The PDFs are then converted to text and the organization names are extracted and geocoded. Because of the automated approach to extracting data, not all organizations have been confirmed as using the dataset. This visualization is provided to help locate and confirm usage and will be updated as data noise is reduced.

Academic
Industry
Government
Data is compiled from Semantic Scholar and not yet manually verified.

Supplementary Information

Citations

Citations were collected from Semantic Scholar, a website which aggregates and indexes research papers. Metadata was extracted from these papers, including extracting names of institutions automatically from PDFs, and then the addresses were geocoded. Data is not yet manually verified, and reflects anytime the paper was cited. Some papers may only mention the dataset in passing, while others use it as part of their research methodology.

Add button/link to download CSV

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

TODO

+

Biometric Trade Routes (beta)

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

Academic
Industry
Government
Data is compiled from Semantic Scholar and not yet manually verified.

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

Supplementary Information

Citations

Citations were collected from Semantic Scholar, a website which aggregates and indexes research papers. Metadata was extracted from these papers, including extracting names of institutions automatically from PDFs, and then the addresses were geocoded. Data is not yet manually verified, and reflects anytime the paper was cited. Some papers may only mention the dataset in passing, while others use it as part of their research methodology.

Add button/link to download CSV

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

TODO

- replace graphic

diff --git a/site/public/datasets/index.html b/site/public/datasets/index.html index d072ac3a..3bf06a0a 100644 --- a/site/public/datasets/index.html +++ b/site/public/datasets/index.html @@ -38,18 +38,42 @@
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+ 50 People One Question +
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2013
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facial landmark estimation in the wild
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images
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Brainwash
2015
Decoding image into set of people detections.
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11,917 images
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11,918 images
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+ CelebA +
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2015
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face attribute recognition, face detection, and landmark (or facial part) localization
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202,599 images
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10,177
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Caltech Occluded Faces in The Wild @@ -74,6 +98,18 @@
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+ MARS +
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2016
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Motion Analysis and Re-identification Set
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1,191,003 images
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1,261
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diff --git a/site/public/datasets/lfw/index.html b/site/public/datasets/lfw/index.html index adad8aea..d694e2b6 100644 --- a/site/public/datasets/lfw/index.html +++ b/site/public/datasets/lfw/index.html @@ -44,7 +44,7 @@

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. Images obtained "in the wild" means using an image without explicit consent or awareness from the subject or photographer.

All 5,379 people in the Labeled Faces in The Wild Dataset. Showing one face per person
All 5,379 people in the Labeled Faces in The Wild Dataset. Showing one face per person

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. Images obtained "in the wild" means using an image without explicit consent or awareness from the subject or photographer.

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. Images obtained "in the wild" means using an image without explicit consent or awareness from the subject or photographer.

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Information Supply Chain

To understand how and where this dataset has been used, organizations using the dataset are plotted below. The data is generated by collecting all citations for all the original research papers associated with the dataset. The PDFs are then converted to text and the organization names are extracted and geocoded. Because of the automated approach to extracting data, not all organizations have been confirmed as using the dataset. This visualization is provided to help locate and confirm usage and will be updated as data noise is reduced.

Academic
Industry
Government
Data is compiled from Semantic Scholar and not yet manually verified.

Supplementary Information

Citations

Citations were collected from Semantic Scholar, a website which aggregates and indexes research papers. Metadata was extracted from these papers, including extracting names of institutions automatically from PDFs, and then the addresses were geocoded. Data is not yet manually verified, and reflects anytime the paper was cited. Some papers may only mention the dataset in passing, while others use it as part of their research methodology.

Add button/link to download CSV

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

Commercial Use

+

Biometric Trade Routes (beta)

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

Academic
Industry
Government
Data is compiled from Semantic Scholar and not yet manually verified.

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

Supplementary Information

Citations

Citations were collected from Semantic Scholar, a website which aggregates and indexes research papers. Metadata was extracted from these papers, including extracting names of institutions automatically from PDFs, and then the addresses were geocoded. Data is not yet manually verified, and reflects anytime the paper was cited. Some papers may only mention the dataset in passing, while others use it as part of their research methodology.

Add button/link to download CSV

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

Commercial Use

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

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