Görlitz Rail Test Center CV Dataset 2024 (RailGoerl24)

DOI

Source: own illustration based on images by EYYES GmbH Source: own animation based on images by EYYES GmbH

Project Info

Logos

RailGoerl24 is an on-board visual light Full HD camera dataset of 12,205 frames and 383,922,305 off-board LiDAR colored cloud points recorded in a railway test center of TÜV SÜD Rail, in Görlitz, Germany, on April 24th, 2024. In addition to the raw data, the dataset contains 33,556 boxwise annotations in total for the object class ‘person’. The faces of recorded people are not blurred or altered in any other way.

It was created as a part of DZSF project XRAISE. PECS-WORK GmbH, EYYES Deutschland GmbH, Chair of Engineering Psychology and Applied Cognitive Research and Chair of Fundamentals of Electrical Engineering constituted the project consortium. TU Dresden was co-supported by SECAI. TÜV SÜD Rail GmbH provided the area for recording.

Supplementing paper

Rustam Tagiew, Ilkay Wunderlich, Mark Sastuba, Steffen Seitz. 2025. RailGoerl24: Görlitz Rail Test Center CV Dataset 2024

License Info

RailGoerl24 is published under CC0 1.0.

Identifier
DOI https://doi.org/10.57806/4d2fpj1y
Related Identifier https://doi.org/10.48550/arXiv.2504.00204
Metadata Access https://data.fid-move.de/api/3/action/package_show?id=0243de33-df91-47f0-a092-f3006e400c90
Provenance
Creator Rustam Tagiew (0000-0002-7892-6351), Ilkay Wunderlich, Philipp Zanitzer, Mark Sastuba (0000-0002-6232-9536), Carsten Knoll (0000-0001-7462-771X), Kilian Göller (0009-0006-3522-2246), Haadia Amjad (0009-0001-9227-9496), Steffen Seitz (0000-0002-8389-8869)
Publisher FID move
Publication Year 2025
Funding Reference Deutsches Zentrum für Schienenverkehrsforschung beim Eisenbahn-Bundesamt, Conrad Zuse School of Embedded Composite AI
Rights CC0 1.0
OpenAccess true
Contact forschung(at)dzsf.bund.de
Representation
Resource Type Dataset
Format JPG XML TXT; LAZ
Discipline Transport and mobility research
Spatial Coverage (14.935W, 51.148S, 14.943E, 51.151N); Görlitz