graviti
产品服务
解决方案
知识库
公开数据集
关于我们
San Francisco Landmark Dataset for Mobile Landmark Recognition
2D Box
Urban
|...
许可协议: Unknown

Overview

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. GirodETHZ: G. Baatz, K. Koeser, M. PollefeysNokia Research Center: R. Vedantham, T. Pylvanainen, K. Roimela, R. GrzeszczukNavteq: X. Chen, J. Bach

数据概要
数据格式
image,
数据量
--
文件大小
--
| 数据量 -- | 大小 --
San Francisco Landmark Dataset for Mobile Landmark Recognition
2D Box
Urban
许可协议: Unknown

Overview

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. GirodETHZ: G. Baatz, K. Koeser, M. PollefeysNokia Research Center: R. Vedantham, T. Pylvanainen, K. Roimela, R. GrzeszczukNavteq: X. Chen, J. Bach

0
立即开始构建AI
graviti
wechat-QR
长按保存识别二维码,关注Graviti公众号

Copyright@Graviti
沪ICP备19019574号
沪公网安备 31011002004865号