Date: Tue, 5 Mar 2019 12:37:38 +0100 Subject: updating html --- site/public/datasets/afad/index.html | 62 +++++++++++++++ site/public/datasets/aflw/index.html | 55 +++++++++++++ site/public/datasets/brainwash/index.html | 82 ++++++++++++++++++++ site/public/datasets/caltech_10k/index.html | 51 ++++++++++++ site/public/datasets/cofw/index.html | 66 ++++++++++++++++ site/public/datasets/facebook/index.html | 56 ++++++++++++++ site/public/datasets/feret/index.html | 68 ++++++++++++++++ site/public/datasets/index.html | 79 +++++++++++++++++++ site/public/datasets/lfpw/index.html | 58 ++++++++++++++ site/public/datasets/lfw/index.html | 74 ++++++++++++++++++ .../datasets/lfw/right-to-removal/index.html | 62 +++++++++++++++ site/public/datasets/lfw/tables/index.html | 52 +++++++++++++ site/public/datasets/uccs/index.html | 90 ++++++++++++++++++++++ site/public/datasets/vgg_face2/index.html | 74 ++++++++++++++++++ .../public/datasets/youtube_celebrities/index.html | 65 ++++++++++++++++ site/public/index.html | 40 ++++++++++ 16 files changed, 1034 insertions(+) create mode 100644 site/public/datasets/afad/index.html create mode 100644 site/public/datasets/aflw/index.html create mode 100644 site/public/datasets/brainwash/index.html create mode 100644 site/public/datasets/caltech_10k/index.html create mode 100644 site/public/datasets/cofw/index.html create mode 100644 site/public/datasets/facebook/index.html create mode 100644 site/public/datasets/feret/index.html create mode 100644 site/public/datasets/index.html create mode 100644 site/public/datasets/lfpw/index.html create mode 100644 site/public/datasets/lfw/index.html create mode 100644 site/public/datasets/lfw/right-to-removal/index.html create mode 100644 site/public/datasets/lfw/tables/index.html create mode 100644 site/public/datasets/uccs/index.html create mode 100644 site/public/datasets/vgg_face2/index.html create mode 100644 site/public/datasets/youtube_celebrities/index.html create mode 100644 site/public/index.html (limited to 'site/public') diff --git a/site/public/datasets/afad/index.html b/site/public/datasets/afad/index.html new file mode 100644 index 00000000..cfb2dc76 --- /dev/null +++ b/site/public/datasets/afad/index.html @@ -0,0 +1,62 @@ + + + + MegaPixels + + + + + + + + + + + + +

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+ Datasets + Research + About +

+ +

Asian Face Age Dataset

Years

2016?

Images

164,432

Identities

4,362

Origin

RenRen

Research

The Asian Face Age Dataset (AFAD) is a new dataset proposed for evaluating the performance of age estimation, which contains more than 160K facial images and the corresponding age and gender labels. This dataset is oriented to age estimation on Asian faces, so all the facial images are for Asian faces. It is noted that the AFAD is the biggest dataset for age estimation to date. It is well suited to evaluate how deep learning methods can be adopted for age estimation. +Motivation
+
For age estimation, there are several public datasets for evaluating the performance of a specific algorithm, such as FG-NET [1] (1002 face images), MORPH I (1690 face images), and MORPH II[2] (55,608 face images). Among them, the MORPH II is the biggest public dataset to date. On the other hand, as we know it is necessary to collect a large scale dataset to train a deep Convolutional Neural Network. Therefore, the MORPH II dataset is extensively used to evaluate how deep learning methods can be adopted for age estimation [3][4].
+
However, the ethnic is very unbalanced for the MORPH II dataset, i.e., it has only less than 1% Asian faces. In order to evaluate the previous methods for age estimation on Asian Faces, the Asian Face Age Dataset (AFAD) was proposed.
+
There are 164,432 well-labeled photos in the AFAD dataset. It consist of 63,680 photos for female as well as 100,752 photos for male, and the ages range from 15 to 40. The distribution of photo counts for distinct ages are illustrated in the figure above. Some samples are shown in the Figure on the top. Its download link is provided in the "Download" section.
+
In addition, we also provide a subset of the AFAD dataset, called AFAD-Lite, which only contains PLACEHOLDER well-labeled photos. It consist of PLACEHOLDER photos for female as well as PLACEHOLDER photos for male, and the ages range from 15 to 40. The distribution of photo counts for distinct ages are illustrated in Fig. PLACEHOLDER. Its download link is also provided in the "Download" section.
+
The AFAD dataset is built by collecting selfie photos on a particular social network -- RenRen Social Network (RSN) [5]. The RSN is widely used by Asian students including middle school, high school, undergraduate, and graduate students. Even after leaving from school, some people still access their RSN account to connect with their old classmates. So, the age of the RSN user crosses a wide range from 15-years to more than 40-years old.
+
Please notice that this dataset is made available for academic research purpose only.
+

https://afad-dataset.github.io/

+ +

+ + + + + \ No newline at end of file diff --git a/site/public/datasets/aflw/index.html b/site/public/datasets/aflw/index.html new file mode 100644 index 00000000..58291ba1 --- /dev/null +++ b/site/public/datasets/aflw/index.html @@ -0,0 +1,55 @@ + + + + MegaPixels + + + + + + + + + + + + +

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MegaPixels

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Annotated Facial Landmarks in The Wild

Years

1993-1996

Images

25,993

Identities

1,199

Origin

Flickr

RESEARCH below this line

The motivation for the AFLW database is the need for a large-scale, multi-view, real-world face database with annotated facial features. We gathered the images on Flickr using a wide range of face relevant tags (e.g., face, mugshot, profile face). The downloaded set of images was manually scanned for images containing faces. The key data and most important properties of the database are:
+

https://www.tugraz.at/institute/icg/research/team-bischof/lrs/downloads/aflw/

+ +

+ + + + + \ No newline at end of file diff --git a/site/public/datasets/brainwash/index.html b/site/public/datasets/brainwash/index.html new file mode 100644 index 00000000..94a5e395 --- /dev/null +++ b/site/public/datasets/brainwash/index.html @@ -0,0 +1,82 @@ + + + + MegaPixels + + + Brainwash is a dataset of people from webcams the Brainwash Cafe in San Francisco being used to train face detection algorithms" /> + + + + + + + + + +

+ +

MegaPixels

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+ Datasets + Research + About +

+ +

Brainwash is a dataset of people from webcams the Brainwash Cafe in San Francisco being used to train face detection algorithms

Brainwash dataset includes 11,918 images of people getting coffee at the Brainwash cafe during 2014 +

Brainwash Dataset

Brainwash is a face detection dataset created from the Brainwash Cafe's livecam footage. The stream is It was published in 2015 by researchers at the Stanford University and has been used 1122 Folsom Street | USA

The photos were collected on

Oct 27, 2014
Nov 11, 2014
Nov 245, 2017

Sed ut perspiciatis, unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam eaque ipsa, quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt, explicabo. Nemo enim ipsam voluptatem, quia voluptas sit, aspernatur aut odit aut fugit, sed quia consequuntur magni dolores eos, qui ratione voluptatem sequi nesciunt, neque porro quisquam est, qui dolorem ipsum, quia dolor sit amet consectetur adipisci[ng] velit, sed quia non-numquam [do] eius modi tempora inci[di]dunt, ut labore et dolore magnam aliquam quaerat voluptatem. Ut enim ad minima veniam.

An sample image from the Brainwash dataset used for training face detection algorithms for surveillance. The datset contains over 12,000 images. License: Open Data Commons Public Domain Dedication (PDDL)

porro quisquam est, qui dolorem ipsum, quia dolor sit amet consectetur adipisci[ng] velit, sed quia non-numquam [do] eius modi tempora inci[di]dunt, ut labore et dolore magnam aliquam quaerat voluptatem. Ut enim ad minima veniam, quis nostrum[d] exercitationem ullam corporis suscipit laboriosam, nisi ut aliquid ex ea commodi consequatur? Quis autem vel eum iure reprehenderit, qui in ea voluptate velit esse, quam nihil molestiae consequatur, vel illum, qui dolorem eum fugiat, quo voluptas nulla pariatur?

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..

■ Academic

■ Industry

■ Government

Data is compiled from Semantic Scholar

A short analysis of the map information

Supplementary Information

Citations

Add graph showing distribution by country. Add information about how the citations were generated. Add button/link to download CSV

RESEARCH below this line

The file is 4.1GB

add sha256 hash
the images were taken from Dropcam which was runnign on https://www.angelcam.com/ "Angelcam’s Real-time Surveillance takes the weight of keeping your home or business secure off your shoulders."

This package contains the "Brainwash" dataset. The dataset consists of images capturing the everyday life of a busy downtown cafe and is split into the following subsets: +training set: 10769 with 81975 annotated people +validation set: 500 images with 3318 annotated people +test set: 500 images with 5007 annotated people
+
Bounding box annotations are provided in a simple text file format. Each line in the file contains +image name followed by the list of annotation rectangles in the [xmin, ymin, max, ymax] format.
+
We refer to the following arXiv submission for details on the dataset and the evaluation procedure:
+

http://arxiv.org/abs/1506.04878

+ +

+ + + + + \ No newline at end of file diff --git a/site/public/datasets/caltech_10k/index.html b/site/public/datasets/caltech_10k/index.html new file mode 100644 index 00000000..c9d98e99 --- /dev/null +++ b/site/public/datasets/caltech_10k/index.html @@ -0,0 +1,51 @@ + + + + MegaPixels + + + + + + + + + + + + +

+ +

MegaPixels

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+ +

Caltech 10K Faces Dataset

Years

TBD

Images

TBD

Identities

TBD

Origin

Google Search

Funding

TBD

+ +

+ + + + + \ No newline at end of file diff --git a/site/public/datasets/cofw/index.html b/site/public/datasets/cofw/index.html new file mode 100644 index 00000000..82842955 --- /dev/null +++ b/site/public/datasets/cofw/index.html @@ -0,0 +1,66 @@ + + + + MegaPixels + + + + + + + + + + + + +

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MegaPixels

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Caltech Occluded Faces in The Wild

Years

1993-1996

Images

14,126

Identities

1,199

Origin

Web Searches

Funded by

ODNI, IARPA, Microsoft

COFW is "is designed to benchmark face landmark algorithms in realistic conditions, which include heavy occlusions and large shape variations" [Robust face landmark estimation under occlusion].

RESEARCH below this line

We asked four people with different levels of computer vision knowledge to each collect 250 faces representative of typical real-world images, with the clear goal of challenging computer vision methods. +The result is 1,007 images of faces obtained from a variety of sources.
+

Robust face landmark estimation under occlusion

Our face dataset is designed to present faces in real-world conditions. Faces show large variations in shape and occlusions due to differences in pose, expression, use of accessories such as sunglasses and hats and interactions with objects (e.g. food, hands, microphones, etc.). All images were hand annotated in our lab using the same 29 landmarks as in LFPW. We annotated both the landmark positions as well as their occluded/unoccluded state. The faces are occluded to different degrees, with large variations in the type of occlusions encountered. COFW has an average occlusion of over 23%. +To increase the number of training images, and since COFW has the exact same landmarks as LFPW, for training we use the original non-augmented 845 LFPW faces + 500 COFW faces (1345 total), and for testing the remaining 507 COFW faces. To make sure all images had occlusion labels, we annotated occlusion on the available 845 LFPW training images, finding an average of only 2% occlusion.
+

http://www.vision.caltech.edu/xpburgos/ICCV13/

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/

TODO

- replace graphic

+ +

+ + + + + \ No newline at end of file diff --git a/site/public/datasets/facebook/index.html b/site/public/datasets/facebook/index.html new file mode 100644 index 00000000..a9f1b225 --- /dev/null +++ b/site/public/datasets/facebook/index.html @@ -0,0 +1,56 @@ + + + + MegaPixels + + + + + + + + + + + + +

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MegaPixels

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TBD

TBD +

TBD

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

+ +

+ + + + + \ No newline at end of file diff --git a/site/public/datasets/feret/index.html b/site/public/datasets/feret/index.html new file mode 100644 index 00000000..51f9038a --- /dev/null +++ b/site/public/datasets/feret/index.html @@ -0,0 +1,68 @@ + + + + MegaPixels + + + + + + + + + + + + +

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MegaPixels

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FERET

Years

1993-1996

Images

14,126

Identities

1,199

Origin

Fairfax, MD

Facial Recognition Evaluation (FERET) is develop, test, and evaluate face recognition algorithms

The goal of the FERET program was to develop automatic face recognition capabilities that could be employed to assist security, intelligence, and law enforcement personnel in the performance of their duties.

https://www.nist.gov/programs-projects/face-recognition-technology-feret

RESEARCH below this line

"The FERET database and evaluation procedure for face-recognition algorithms"

Images were captured using Kodak Ultra film
The facial images were collected in 11 sessions from August 1993 to December 1994. Conducted at George Mason University and at US Army Research Laboratory facilities,

FERET (Face Recognition Technology) Recognition Algorithm Development and Test Results

"A release form is necessary because of the privacy laws in the United States."

Funding

The FERET program is sponsored by the U.S. Depart- ment of Defense’s Counterdrug Technology Development Program Office. The U.S. Army Research Laboratory (ARL) is the technical agent for the FERET program. ARL designed, administered, and scored the FERET tests. George Mason University collected, processed, and main- tained the FERET database. Inquiries regarding the FERET database or test should be directed to P. Jonathon Phillips.

+ +

+ + + + + \ No newline at end of file diff --git a/site/public/datasets/index.html b/site/public/datasets/index.html new file mode 100644 index 00000000..313ed91e --- /dev/null +++ b/site/public/datasets/index.html @@ -0,0 +1,79 @@ + + + + MegaPixels + + + + + + + + + + + + +

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MegaPixels

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Facial Recognition Datasets

[add text, make sortable] This is a list of all the facial recognition datasets

+ +

+ + +

+ Brainwash +

+ + + +

+ Caltech Occluded Faces in The Wild +

+ + + +

+ Labeled Faces in The Wild +

+ + +

+ + + + + \ No newline at end of file diff --git a/site/public/datasets/lfpw/index.html b/site/public/datasets/lfpw/index.html new file mode 100644 index 00000000..385bd189 --- /dev/null +++ b/site/public/datasets/lfpw/index.html @@ -0,0 +1,58 @@ + + + + MegaPixels + + + + + + + + + + + + +

+ +

MegaPixels

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+ Datasets + Research + About +

+ +

Labeled Face Parts in The Wild

Year

2011

Images

1,432

Origin

Flickr

Funding

CIA

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.
+

https://neerajkumar.org/databases/lfpw/

This research was performed at Kriegman-Belhumeur Vision Technologies and was funded by the CIA through the Office of the Chief Scientist. https://www.cs.cmu.edu/~peiyunh/topdown/ (nk_cvpr2011_faceparts.pdf)
+

+ +

+ + + + + \ No newline at end of file diff --git a/site/public/datasets/lfw/index.html b/site/public/datasets/lfw/index.html new file mode 100644 index 00000000..3c7fd45f --- /dev/null +++ b/site/public/datasets/lfw/index.html @@ -0,0 +1,74 @@ + + + + MegaPixels + + + Labeled Faces in The Wild (LFW) is a database of face photographs designed for studying the problem of unconstrained face recognition." /> + + + + + + + + + +

+ +

MegaPixels

+ +

+ Datasets + Research + About +

+ +

Labeled Faces in The Wild (LFW) is a database of face photographs designed for studying the problem of unconstrained face recognition.

It includes 13,456 images of 4,432 people's images copied from the Internet during 2002-2004. +

Created

2002 – 2004

Images

13,233

Identities

5,749

Origin

Yahoo! News Images

Used by

Facebook, Google, Microsoft, Baidu, Tencent, SenseTime, Face++, CIA, NSA, IARPA

Website

umass.edu

There are about 3 men for every 1 woman in the LFW dataset 1
The person with the most images is George W. Bush with 530
There are about 3 George W. Bush's for every 1 Tony Blair
The LFW dataset includes over 500 actors, 30 models, 10 presidents, 124 basketball players, 24 football players, 11 kings, 7 queens, and 1 Moby
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
* denotes partial funding for related research

Labeled Faces in the Wild

Labeled Faces in The Wild (LFW) is "a database of face photographs designed for studying the problem of unconstrained face recognition 1. It is used to evaluate and improve the performance of facial recognition algorithms in academic, commercial, and government research. According to BiometricUpdate.com 3, 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. 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

Biometric Trade Routes

■ Academic

■ Industry

■ Government

Data is compiled from Semantic Scholar

Supplementary Information

Citations

Add graph showing distribution by country. Add information about how the citations were generated. Add button/link to download CSV

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

a b
http://vis-www.cs.umass.edu/lfw/results.html
+
Jingtuo Liu, Yafeng Deng, Tao Bai, Zhengping Wei, Chang Huang. Targeting Ultimate Accuracy: Face Recognition via Deep Embedding. https://arxiv.org/abs/1506.07310
+
a
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
+

+ +

+ + + + + \ No newline at end of file diff --git a/site/public/datasets/lfw/right-to-removal/index.html b/site/public/datasets/lfw/right-to-removal/index.html new file mode 100644 index 00000000..5dc269b2 --- /dev/null +++ b/site/public/datasets/lfw/right-to-removal/index.html @@ -0,0 +1,62 @@ + + + + MegaPixels + + + + + + + + + + + + +

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MegaPixels

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+ Datasets + Research + About +

+ +

Labeled Faces in the Wild

Right to Removal

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

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

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

Subject: Request for Removal from LFW Face Dataset

Dear [researcher name],

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

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

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

- [your name]

+ +

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

+ +

MegaPixels

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+ Datasets + Research + About +

+ +

Labeled Faces in the Wild

Tables

+ +

+ + + + + \ No newline at end of file diff --git a/site/public/datasets/uccs/index.html b/site/public/datasets/uccs/index.html new file mode 100644 index 00000000..21d1e6bb --- /dev/null +++ b/site/public/datasets/uccs/index.html @@ -0,0 +1,90 @@ + + + + MegaPixels + + + + + + + + + + + + +

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MegaPixels

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Unconstrained College Students

Years

2012-2013

Images

16,149

Identities

4,362

Origin

Colorado Springs Campus

Pixellated and redacted example image from the UCCS dataset. ©Adam Harvey

Unconstrained College Students is a large-scale, unconstrained face detection and recognition dataset. It includes

The UCCS includes...

Funding Sources

The original Sapkota and Boult dataset, from which UCCS is derived, received funding from[^funding_sb]:

ONR (Office of Naval Research) MURI (The Department of Defense Multidisciplinary University Research Initiative) grant N00014-08-1-0638
Army SBIR (Small Business Innovation Research) grant W15P7T-12-C-A210
SOCOM (Special Operations Command) SBIR (Small Business Innovation Research) grant H92222-07-P-0020

The more recent UCCS version of the dataset received funding from [^funding_uccs]:

National Science Foundation Grant IIS-1320956
ODNI (Office of Director of National Intelligence)
IARPA (Intelligence Advance Research Projects Activity) R&D contract 2014-14071600012

Citations

[add map here]

[add citations table here]

Notes

Images from UCCS are not available for public display. Instead a pixellated, redacted, and colored interpretation has been displayed here. The full images are available here.
Images can be downloaded from...

Resources

Download video
links to UCCS
download synthetic images

Image Terms of Use

You are welcomed to use these images for academic and journalistic use including for research papers, news stories, presentations.
Please use the following citation:

+ +

+ + + + + \ No newline at end of file diff --git a/site/public/datasets/vgg_face2/index.html b/site/public/datasets/vgg_face2/index.html new file mode 100644 index 00000000..d0a161cb --- /dev/null +++ b/site/public/datasets/vgg_face2/index.html @@ -0,0 +1,74 @@ + + + + MegaPixels + + + + + + + + + + + + +

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MegaPixels

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+ +

VGG Face 2

Years

TBD

Images

TBD

Identities

TBD

Origin

TBD

Funding

IARPA

...

Analysis

The VGG Face 2 dataset includes approximately 1,331 actresses, 139 presidents, 16 wives, 3 husbands, 2 snooker player, and 1 guru

Names and descriptions

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

TODO

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

+ +

+ + + + + \ No newline at end of file diff --git a/site/public/datasets/youtube_celebrities/index.html b/site/public/datasets/youtube_celebrities/index.html new file mode 100644 index 00000000..f830eb3a --- /dev/null +++ b/site/public/datasets/youtube_celebrities/index.html @@ -0,0 +1,65 @@ + + + + MegaPixels + + + + + + + + + + + + +

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MegaPixels

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+ Datasets + Research + About +

+ +

YouTube Celebrities

Years

TBD

Images

TBD

Identities

TBD

Origin

YouTube.com

Funded by

CIA, US Army

TODO

RESEARCH below these lines

Selected dataset sequences: (a) MBGC, (b) CMU MoBo, (c) First +Honda/UCSD, and (d) YouTube Celebrities. +This research is supported by the Central Intelligence Agency, the Biometrics +Task Force and the Technical Support Working Group through US Army contract +W91CRB-08-C-0093. The opinions, (cid:12)ndings, and conclusions or recommendations +expressed in this publication are those of the authors and do not necessarily re(cid:13)ect +the views of our sponsors.
+

in "Face Recognition From Video Draft 17"
International Journal of Pattern Recognition and Artifcial Intelligence WorldScientific Publishing Company

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