Yet Another Computer Vision Index To Datasets (YACVID) - Details

Stand: 2017-03-25 000000m 00:58:49 - Overview

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Name (Institute + Shorttitle)San Francisco Landmark Dataset for Mobile Landmark Recognition 
Description (include details on usage, files and paper references)The San Francisco Landmark Dataset for Mobile Landmark Recognition is a set of images and query images for localization.

We present the San Francisco Landmark Dataset, which contains a database of 1.7 million images of buildings in San Francisco with ground truth labels, geotags, and calibration data, as well as a difficult query set of 803 cell phone images taken with a variety of different camera phones. The data is originally acquired by vehicle-mounted cameras with wide-angle lenses capturing spherical panoramic images. For all visible buildings in each panorama, a set of overlapping perspective images is generated. We provide this dataset to facilitate further research in the important area of landmark recognition with mobile devices.

a SFM reconstruction of a subset is available here:
http://vision.soic.indiana.edu/projects/disco/

Contributors:
Stanford: D. Chen, S. Tsai, B. Girod
ETHZ: G. Baatz, K. Koeser, M. Pollefeys
Nokia Research Center: R. Vedantham, T. Pylvanainen, K. Roimela, R. Grzeszczuk
Navteq: X. Chen, J. Bach
 
URL Linkhttps://sites.google.com/site/chenmodavid/datasets 
Files (#)1700000 
References (SKIPPED)
Category (SKIPPED) 
Tags (single words, spaced)retrieval localization city urban sanfrancisco landmark calibration gps mobile 
Last Changed2017-03-25 
Turing (2.12+3.25=?) :-) 

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