Computer Vision
Published December 28, 2022 | Version 1.0
Dataset Open

TBPos: Dataset for Large-Scale Precision Visual Localization (database files)

Authors/Creators

  • 1. University of Vaasa

Contributors

Data collector (2):

Data manager:

Project member:

Sponsor:

  • 1. University of Vaasa
  • 2. Tampere University

Description

Large-scale dataset for visual localization, provided in the format of the well-known InLoc dataset (Taira et al, 2018). Contains co-registered RGB point clouds and a script for generating the rest of the 'database' files for visual localization by the InLoc algorithm. Note: query images are provided in a separate repository.

Notes

This work was carried out with the support of Centre for Immersive Visual Technologies (CIVIT) research infrastructure, Tampere University, Finland.

Files

contents.txt

Files (99.6 GB)

Name Size
md5:4d576b947e0efbd9ddb8d767b2435daf
18.4 kB Download
md5:0efa222e0a09dbe463417d629b62f166
375.7 kB Preview Download
md5:45245d2e2172a4ad62810eba6bf80dd5
34.0 kB Download
md5:27ff80322150b41f1676943b6efef4e8
1.6 GB Download
md5:af18e00a055feb9adb50976c083ec2c0
1.8 kB Download
md5:3e8fe1ba0ea29b77a10fd3acbdd53939
1.4 kB Preview Download
md5:b9b13d5e933961631563b0df30417b6e
98.0 GB Download

Additional details

Funding

Research Council of Finland
Robust and Efficient PErception for Autonomous Things (REPEAT) / Consortium: REPEAT 327912