---
_id: '13824'
abstract:
- lang: eng
  text: "\r\n\r\nThis dataset provides synthetic training data for the real-world
    industrial application of terminal strip object detection to investigate the sim-to-real
    generalization performance of modern object detectors based on state-of-the-art
    image synthesis methods. It consists of 30.000 randomly generated synthetic images
    of terminal strips covering 36 different terminal blocks in five colors and additional
    accessories such as plug-in bridges, test adapters, end covers and markings. Except
    from the markings and the DIN rail all objects of the terminal strips are labeled
    with a bounding box and the respective object class for supervised learning. Additionally,
    300 real images of terminal strips were taken and manually labeled for the real-world
    test.\r\n\r\nIf you use this datset for your research, please consider citing
    this: Investigation of the Impact of Synthetic Training Data in the Industrial
    Application of Terminal Strip Object Detection\r\n"
author:
- first_name: Nico
  full_name: Baumgart, Nico
  id: '88090'
  last_name: Baumgart
- first_name: Markus
  full_name: Lange-Hegermann, Markus
  id: '71761'
  last_name: Lange-Hegermann
- first_name: Mike
  full_name: Mücke, Mike
  last_name: Mücke
citation:
  ama: Baumgart N, Lange-Hegermann M, Mücke M. <i>Synthetic Training Dataset for Real-World
    Terminal Strip Object Detection</i>. Zenodo; 2024. doi:<a href="https://doi.org/10.5281/ZENODO.16080102">10.5281/ZENODO.16080102</a>
  apa: Baumgart, N., Lange-Hegermann, M., &#38; Mücke, M. (2024). <i>Synthetic Training
    Dataset for Real-World Terminal Strip Object Detection</i>. Zenodo. <a href="https://doi.org/10.5281/ZENODO.16080102">https://doi.org/10.5281/ZENODO.16080102</a>
  bjps: <b>Baumgart N, Lange-Hegermann M and Mücke M</b> (2024) <i>Synthetic Training
    Dataset for Real-World Terminal Strip Object Detection</i>. Zenodo.
  chicago: Baumgart, Nico, Markus Lange-Hegermann, and Mike Mücke. <i>Synthetic Training
    Dataset for Real-World Terminal Strip Object Detection</i>. Zenodo, 2024. <a href="https://doi.org/10.5281/ZENODO.16080102">https://doi.org/10.5281/ZENODO.16080102</a>.
  chicago-de: Baumgart, Nico, Markus Lange-Hegermann und Mike Mücke. 2024. <i>Synthetic
    Training Dataset for Real-World Terminal Strip Object Detection</i>. Zenodo. doi:<a
    href="https://doi.org/10.5281/ZENODO.16080102">10.5281/ZENODO.16080102</a>, .
  din1505-2-1: '<span style="font-variant:small-caps;">Baumgart, Nico</span> ; <span
    style="font-variant:small-caps;">Lange-Hegermann, Markus</span> ; <span style="font-variant:small-caps;">Mücke,
    Mike</span>: <i>Synthetic Training Dataset for Real-World Terminal Strip Object
    Detection</i> : Zenodo, 2024'
  havard: N. Baumgart, M. Lange-Hegermann, M. Mücke, Synthetic Training Dataset for
    Real-World Terminal Strip Object Detection, Zenodo, 2024.
  ieee: 'N. Baumgart, M. Lange-Hegermann, and M. Mücke, <i>Synthetic Training Dataset
    for Real-World Terminal Strip Object Detection</i>. Zenodo, 2024. doi: <a href="https://doi.org/10.5281/ZENODO.16080102">10.5281/ZENODO.16080102</a>.'
  mla: Baumgart, Nico, et al. <i>Synthetic Training Dataset for Real-World Terminal
    Strip Object Detection</i>. Zenodo, 2024, <a href="https://doi.org/10.5281/ZENODO.16080102">https://doi.org/10.5281/ZENODO.16080102</a>.
  short: N. Baumgart, M. Lange-Hegermann, M. Mücke, Synthetic Training Dataset for
    Real-World Terminal Strip Object Detection, Zenodo, 2024.
  ufg: '<b>Baumgart, Nico/Lange-Hegermann, Markus/Mücke, Mike</b>: Synthetic Training
    Dataset for Real-World Terminal Strip Object Detection, o. O. 2024.'
  van: Baumgart N, Lange-Hegermann M, Mücke M. Synthetic Training Dataset for Real-World
    Terminal Strip Object Detection. Zenodo; 2024.
date_created: 2026-06-16T14:07:26Z
date_updated: 2026-06-16T14:11:28Z
department:
- _id: DEP5015
doi: 10.5281/ZENODO.16080102
keyword:
- Object Detection
- Image Synthesis
- Domain Randomization
- Domain Gap
- Terminal Strip
publisher: Zenodo
status: public
title: Synthetic Training Dataset for Real-World Terminal Strip Object Detection
type: research_data
user_id: '83781'
year: '2024'
...