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------------
-status: published
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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
@@ -14,28 +14,15 @@ authors: Adam Harvey
------------
-### sidebar
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-+ Published: 2007
-+ Images: 1,264
-+ Persons: 632
-+ Created by: UC Santa Cruz
-
## VIPeR Dataset
-(PAGE UNDER DEVELOPMENT)
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*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).
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