From c07ee775f0ae32fe13d950787c178e84d9bd2bcd Mon Sep 17 00:00:00 2001 From: adamhrv Date: Mon, 11 Mar 2019 00:27:14 +0100 Subject: ars update, preview --- .../datasets/50_people_one_question/index.html | 1 + site/public/datasets/brainwash/index.html | 1 + site/public/datasets/celeba/index.html | 1 + site/public/datasets/cofw/index.html | 5 +-- site/public/datasets/index.html | 36 ---------------------- site/public/datasets/lfw/index.html | 1 + site/public/datasets/mars/index.html | 3 +- 7 files changed, 9 insertions(+), 39 deletions(-) (limited to 'site/public/datasets') diff --git a/site/public/datasets/50_people_one_question/index.html b/site/public/datasets/50_people_one_question/index.html index 25df92b9..3a854d50 100644 --- a/site/public/datasets/50_people_one_question/index.html +++ b/site/public/datasets/50_people_one_question/index.html @@ -28,6 +28,7 @@
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.

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

diff --git a/site/public/datasets/brainwash/index.html b/site/public/datasets/brainwash/index.html index e5c9da79..9cf2db0d 100644 --- a/site/public/datasets/brainwash/index.html +++ b/site/public/datasets/brainwash/index.html @@ -28,6 +28,7 @@
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 "everyday life of a busy downtown cafe"
Collected
2014
Published
2015
Images
11,918
Faces
91,146
Created by
Stanford Department of Computer Science
Funded by
Max Planck Center for Visual Computing and Communication
Resolution
640x480px
Size
4.1GB
Origin
Brainwash Cafe, San Franscisco
Purpose
Training face detection

Brainwash Dataset

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(PAGE UNDER DEVELOPMENT)

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".

diff --git a/site/public/datasets/celeba/index.html b/site/public/datasets/celeba/index.html index 2977cf2a..024f842f 100644 --- a/site/public/datasets/celeba/index.html +++ b/site/public/datasets/celeba/index.html @@ -28,6 +28,7 @@
CelebA is a dataset of people...
CelebA includes...
Collected
TBD
Published
TBD
Images
TBD
Faces
TBD

CelebA

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(PAGE UNDER DEVELOPMENT)

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.

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

diff --git a/site/public/datasets/cofw/index.html b/site/public/datasets/cofw/index.html index 8410559f..605a325a 100644 --- a/site/public/datasets/cofw/index.html +++ b/site/public/datasets/cofw/index.html @@ -26,8 +26,9 @@
-

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].

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Years
1993-1996
Images
14,126
Identities
1,199
Origin
Web Searches
Funded by
ODNI, IARPA, Microsoft

Caltech Occluded Faces in the Wild

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(PAGE UNDER DEVELOPMENT)

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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.

diff --git a/site/public/datasets/index.html b/site/public/datasets/index.html index ab9f852d..d9452b11 100644 --- a/site/public/datasets/index.html +++ b/site/public/datasets/index.html @@ -37,18 +37,6 @@
- -
- 50 People One Question -
-
2013
-
facial landmark estimation in the wild
-
images
-
-
-
- -
Brainwash @@ -61,30 +49,6 @@
- -
- CelebA -
-
2015
-
face attribute recognition, face detection, and landmark (or facial part) localization
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202,599 images
-
10,177
-
-
- - - -
- Caltech Occluded Faces in The Wild -
-
2013
-
challenging dataset (sunglasses, hats, interaction with objects), supported by IARPA
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1,007 images
-
-
-
- -
Labeled Faces in The Wild diff --git a/site/public/datasets/lfw/index.html b/site/public/datasets/lfw/index.html index 814cd167..4fbd06a5 100644 --- a/site/public/datasets/lfw/index.html +++ b/site/public/datasets/lfw/index.html @@ -37,6 +37,7 @@
  • * denotes partial funding for related research

    • Labeled Faces in the Wild

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    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.

    diff --git a/site/public/datasets/mars/index.html b/site/public/datasets/mars/index.html index 66084e15..62f8847e 100644 --- a/site/public/datasets/mars/index.html +++ b/site/public/datasets/mars/index.html @@ -27,7 +27,8 @@
    MARS is a dataset of people...
    MARS includes... -
    Collected
    TBD
    Published
    TBD
    Images
    TBD
    Faces
    TBD

    50 MARS

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    Collected
    TBD
    Published
    TBD
    Images
    TBD
    Faces
    TBD

    MARS

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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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