1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
|
<!doctype html>
<html>
<head>
<title>MegaPixels</title>
<meta charset="utf-8" />
<meta name="author" content="Adam Harvey" />
<meta name="description" content="Caltech 10K Faces Dataset" />
<meta name="referrer" content="no-referrer" />
<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
<link rel='stylesheet' href='/assets/css/fonts.css' />
<link rel='stylesheet' href='/assets/css/css.css' />
<link rel='stylesheet' href='/assets/css/leaflet.css' />
<link rel='stylesheet' href='/assets/css/applets.css' />
</head>
<body>
<header>
<a class='slogan' href="/">
<div class='logo'></div>
<div class='site_name'>MegaPixels</div>
<div class='splash'>Brainwash Dataset</div>
</a>
<div class='links'>
<a href="/datasets/">Datasets</a>
<a href="/about/">About</a>
</div>
</header>
<div class="content content-">
<section><h2>Caltech 10K Faces Dataset</h2>
</section><div class='right-sidebar'><div class='meta'>
<div class='gray'>Published</div>
<div>2015</div>
</div><div class='meta'>
<div class='gray'>Images</div>
<div>11,917 </div>
</div><div class='meta'>
<div class='gray'>Purpose</div>
<div>Head detection</div>
</div><div class='meta'>
<div class='gray'>Created by</div>
<div>Stanford University (US), Max Planck Institute for Informatics (DE)</div>
</div><div class='meta'>
<div class='gray'>Funded by</div>
<div>Max Planck Center for Visual Computing and Communication</div>
</div><div class='meta'>
<div class='gray'>Download Size</div>
<div>4.1 GB</div>
</div><div class='meta'>
<div class='gray'>Website</div>
<div><a href='https://purl.stanford.edu/sx925dc9385' target='_blank' rel='nofollow noopener'>stanford.edu</a></div>
</div></div><section><p>[ page under development ]</p>
</section><section>
<h3>Who used Brainwash Dataset?</h3>
<p>
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.
</p>
</section>
<section class="applet_container">
<!-- <div style="position: absolute;top: 0px;right: -55px;width: 180px;font-size: 14px;">Labeled Faces in the Wild Dataset<br><span class="numc" style="font-size: 11px;">20 citations</span>
</div> -->
<div class="applet" data-payload="{"command": "chart"}"></div>
</section>
<section class="applet_container">
<div class="applet" data-payload="{"command": "piechart"}"></div>
</section>
<section>
<h3>Biometric Trade Routes</h3>
<p>
To help understand how Brainwash Dataset has been used around the world by commercial, military, and academic organizations; existing publicly available research citing Brainwash 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.
</p>
</section>
<section class="applet_container fullwidth">
<div class="applet" data-payload="{"command": "map"}"></div>
</section>
<div class="caption">
<ul class="map-legend">
<li class="edu">Academic</li>
<li class="com">Commercial</li>
<li class="gov">Military / Government</li>
</ul>
<div class="source">Citation data is collected using <a href="https://semanticscholar.org" target="_blank">SemanticScholar.org</a> then dataset usage verified and geolocated.</div >
</div>
<section class="applet_container">
<h3>Dataset Citations</h3>
<p>
The dataset citations used in the visualizations were collected from <a href="https://www.semanticscholar.org">Semantic Scholar</a>, 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.
</p>
<div class="applet" data-payload="{"command": "citations"}"></div>
</section><section><h3>(ignore) research notes</h3>
<p>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.</p>
</section>
</div>
<footer>
<div>
<a href="/">MegaPixels.cc</a>
<a href="/datasets/">Datasets</a>
<a href="/about/">About</a>
<a href="/about/press/">Press</a>
<a href="/about/legal/">Legal and Privacy</a>
</div>
<div>
MegaPixels ©2017-19 Adam R. Harvey /
<a href="https://ahprojects.com">ahprojects.com</a>
</div>
</footer>
</body>
<script src="/assets/js/dist/index.js"></script>
</html>
|
