From 7020b4e9c5cdab544ae7eec0f12a559f5cf24d95 Mon Sep 17 00:00:00 2001 From: adamhrv Date: Fri, 19 Apr 2019 02:10:27 +0200 Subject: moved drafts to new dir --- site/content/_drafts_/viper/index.md | 28 ++++++++++++++++++++++++++++ 1 file changed, 28 insertions(+) create mode 100644 site/content/_drafts_/viper/index.md (limited to 'site/content/_drafts_/viper/index.md') diff --git a/site/content/_drafts_/viper/index.md b/site/content/_drafts_/viper/index.md new file mode 100644 index 00000000..291b2136 --- /dev/null +++ b/site/content/_drafts_/viper/index.md @@ -0,0 +1,28 @@ +------------ + +status: draft +title: VIPeR +desc: VIPeR 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' %} \ No newline at end of file -- cgit v1.2.3-70-g09d2