Görlitz Rail Test Center CV Dataset 2024 (RailGoerl24)

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.

  • Haupttitel(English): "Görlitz Rail Test Center CV Dataset 2024 (RailGoerl24)"

Daten und Ressourcen


Tagiew, Rustam; Wunderlich, Ilkay; Zanitzer, Philipp; Sastuba, Mark; Knoll, Carsten; Göller, Kilian; Amjad, Haadia ; Seitz, Steffen (2025). Görlitz Rail Test Center CV Dataset 2024 (RailGoerl24) [Data set]. TIB. https://doi.org/10.57806/4d2fpj1y

Retrieved: 18:20 05 Sep 2025 (UTC)

Zusätzliche Informationen

Feld Wert
Erstellt 19. Februar 2025
Letzte Aktualisierung 25. August 2025
Sprache Englisch
Sprache Englisch
Autor
  • Tagiew, Rustam
    (Federal Railway Authority https://ror.org/0392kk689 )
  • Wunderlich, Ilkay
    (TU Dresden https://ror.org/042aqky30 )
  • Zanitzer, Philipp
    (x )
  • Sastuba, Mark
    (Federal Railway Authority https://ror.org/0392kk689 )
  • Knoll, Carsten
    (TU Dresden https://ror.org/042aqky30 )
  • Göller, Kilian
    (TU Dresden https://ror.org/042aqky30 )
  • Amjad, Haadia
    (TU Dresden https://ror.org/042aqky30 )
  • Seitz, Steffen
    (TU Dresden https://ror.org/042aqky30 )
Ressourcentyp Allgemein Datensatz
Ressourcentyp Dataset
Lizenz CC0 1.0: CC0 1.0 Universal Public Domain Dedication
Zugehörige Ressource
Identifier: arXiv:2504.00204
Type: arXiv
Relation: IsCitedBy

Geolokalisierung
Geolokalisierung 1
Ort
Görlitz
Westliche Länge
14.93491
Östliche Länge
14.943332
Nördliche Breite
51.14828
Südliche Breite
51.151214
Finanzierung/ Förderer
  • Deutsches Zentrum für Schienenverkehrsforschung beim Eisenbahn-Bundesamt, Cnrad Zuse School of Embedded Composite AI
TIB
de
https://ror.org/04aj4c181
ROR
https://ror.org/
Jahr der Veröffentlichung 2024