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-------------
-
-status: draft
-title: VIPeR
-desc: <span class="dataset-name">VIPeR</span> is a person re-identification dataset of images captured at UC Santa Cruz in 2007
-subdesc: 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
-slug: viper
-cssclass: dataset
-image: assets/background.jpg
-year: 2007
-published: 2019-2-23
-updated: 2019-2-23
-authors: Adam Harvey
-
-------------
-
-## VIPeR Dataset
-
-### sidebar
-### end sidebar
-
-[ page under development ]
-
-*VIPeR (Viewpoint Invariant Pedestrian Recognition)* 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."
-
-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).
-
-{% include 'dashboard.html' %}
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