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
125
126
127
128
129
130
131
|
<!doctype html>
<html>
<head>
<title>MegaPixels</title>
<meta charset="utf-8" />
<meta name="author" content="Adam Harvey" />
<meta name="description" content="VIPeR is a person re-identification dataset of images captured at UC Santa Cruz in 2007" />
<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/tabulator.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>
</a>
<div class='links'>
<a href="/datasets/">Datasets</a>
<a href="/about/">About</a>
</div>
</header>
<div class="content content-dataset">
<section class='intro_section' style='background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/viper/assets/background.jpg)'><div class='inner'><div class='hero_desc'><span class='bgpad'><span class="dataset-name">VIPeR</span> is a person re-identification dataset of images captured at UC Santa Cruz in 2007</span></div><div class='hero_subdesc'><span class='bgpad'>VIPeR contains 1,264 images and 632 persons on the UC Santa Cruz campus and is used to train person re-identification algorithms for surveillance
</span></div></div></section><section><div class='left-sidebar'><div class='meta'><div><div class='gray'>Published</div><div>2007</div></div><div><div class='gray'>Images</div><div>1,264</div></div><div><div class='gray'>Persons</div><div>632</div></div><div><div class='gray'>Created by</div><div>UC Santa Cruz</div></div></div></div><h2>VIPeR Dataset</h2>
<p>(PAGE UNDER DEVELOPMENT)</p>
<p><em>VIPeR (Viewpoint Invariant Pedestrian Recognition)</em> is a dataset of pedestrian images captured at University of California Santa Cruz in 2007. Accoriding to the reserachers 2 "cameras were placed in different locations in an academic setting and subjects were notified of the presence of cameras, but were not coached or instructed in any way."</p>
<p>VIPeR is amongst the most widely used publicly available person re-identification datasets. In 2017 the VIPeR dataset was combined into a larger person re-identification created by the Chinese University of Hong Kong called PETA (PEdesTrian Attribute).</p>
</section><section>
<h3>Who used VIPeR?</h3>
<p>
This bar chart presents a ranking of the top countries where 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 class="applet" data-payload="{"command": "chart"}"></div>
</section><section>
<p>
These pie charts show overall totals based on country and institution type.
</p>
</section>
<section class="applet_container">
<div class="applet" data-payload="{"command": "piechart"}"></div>
</section><section>
<h3>Information Supply Chain</h3>
<!--
<div class="map-sidebar right-sidebar">
<h3>Legend</h3>
<ul>
<li><span style="color: #f2f293">■</span> Industry</li>
<li><span style="color: #f30000">■</span> Academic</li>
<li><span style="color: #3264f6">■</span> Government</li>
</ul>
</div>
-->
<p>
To understand how VIPeR 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
</p>
</section>
<section class="applet_container">
<div class="applet" data-payload="{"command": "map"}"></div>
</section>
<div class="caption">
<div class="map-legend-item edu">Academic</div>
<div class="map-legend-item com">Industry</div>
<div class="map-legend-item gov">Government</div>
Data is compiled from <a href="https://www.semanticscholar.org">Semantic Scholar</a> and has been manually verified to show usage of VIPeR.
</div>
<section>
<p class='subp'>
Standardized paragraph of text about the map. 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.
</p>
</section><section>
<div class="hr-wave-holder">
<div class="hr-wave-line hr-wave-line1"></div>
<div class="hr-wave-line hr-wave-line2"></div>
</div>
<h2>Supplementary Information</h2>
</section><section class="applet_container">
<h3>Citations</h3>
<p>
Citations were collected from <a href="https://www.semanticscholar.org">Semantic Scholar</a>, a website which aggregates
and indexes research papers. The citations were 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 and/or test machine learning algorithms.
</p>
<p>
Add button/link to download CSV
</p>
<div class="applet" data-payload="{"command": "citations"}"></div>
</section>
</div>
<footer>
<div>
<a href="/">MegaPixels.cc</a>
<a href="/about/disclaimer/">Disclaimer</a>
<a href="/about/terms/">Terms of Use</a>
<a href="/about/privacy/">Privacy</a>
<a href="/about/">About</a>
<a href="/about/team/">Team</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>
|
