---
_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'
...
---
_id: '4097'
abstract:
- lang: eng
  text: The capabilities of object detection are well known, but many projects don’t
    use them, despite potential benefit. Even though the use of object detection algorithms
    is facilitated through frameworks and publications, a big issue is the creation
    of the necessary training data. To tackle this issue, this work shows the design
    and evaluation of a prototype, which allows users to create synthetic datasets
    for object detection in images. The prototype is evaluated using YOLOv3 as the
    underlying detector and shows that the generated datasets are equally good in
    quality as manually created data. This encourages a wide adoption of object detection
    algorithms in different areas, since image creation and labeling is often the
    most time consuming step.
author:
- first_name: Andreas
  full_name: Besginow, Andreas
  id: '61743'
  last_name: Besginow
- first_name: Sebastian
  full_name: Büttner, Sebastian
  id: '61868'
  last_name: Büttner
- first_name: Carsten
  full_name: Röcker, Carsten
  id: '61525'
  last_name: Röcker
citation:
  ama: 'Besginow A, Büttner S, Röcker C. Making Object Detection Available to Everyone
    - A Hardware Prototype for Semi-automatic Synthetic Data Generation. In: <i>22nd
    International Conference on Human-Computer Interaction</i>. Vol 12203. Lecture
    Notes in Computer Science . Springer; 2020:178-192. doi:<a href="https://doi.org/10.1007/978-3-030-50344-4_14">https://doi.org/10.1007/978-3-030-50344-4_14</a>'
  apa: Besginow, A., Büttner, S., &#38; Röcker, C. (2020). Making Object Detection
    Available to Everyone - A Hardware Prototype for Semi-automatic Synthetic Data
    Generation. <i>22nd International Conference on Human-Computer Interaction</i>,
    <i>12203</i>, 178–192. <a href="https://doi.org/10.1007/978-3-030-50344-4_14">https://doi.org/10.1007/978-3-030-50344-4_14</a>
  bjps: '<b>Besginow A, Büttner S and Röcker C</b> (2020) Making Object Detection
    Available to Everyone - A Hardware Prototype for Semi-Automatic Synthetic Data
    Generation. <i>22nd International Conference on Human-Computer Interaction</i>,
    vol. 12203. Berlin: Springer, pp. 178–192.'
  chicago: 'Besginow, Andreas, Sebastian Büttner, and Carsten Röcker. “Making Object
    Detection Available to Everyone - A Hardware Prototype for Semi-Automatic Synthetic
    Data Generation.” In <i>22nd International Conference on Human-Computer Interaction</i>,
    12203:178–92. Lecture Notes in Computer Science . Berlin: Springer, 2020. <a href="https://doi.org/10.1007/978-3-030-50344-4_14">https://doi.org/10.1007/978-3-030-50344-4_14</a>.'
  chicago-de: 'Besginow, Andreas, Sebastian Büttner und Carsten Röcker. 2020. Making
    Object Detection Available to Everyone - A Hardware Prototype for Semi-automatic
    Synthetic Data Generation. In: <i>22nd International Conference on Human-Computer
    Interaction</i>, 12203:178–192. Lecture Notes in Computer Science . Berlin: Springer.
    doi:<a href="https://doi.org/10.1007/978-3-030-50344-4_14">https://doi.org/10.1007/978-3-030-50344-4_14</a>,
    .'
  din1505-2-1: '<span style="font-variant:small-caps;">Besginow, Andreas</span> ;
    <span style="font-variant:small-caps;">Büttner, Sebastian</span> ; <span style="font-variant:small-caps;">Röcker,
    Carsten</span>: Making Object Detection Available to Everyone - A Hardware Prototype
    for Semi-automatic Synthetic Data Generation. In: <i>22nd International Conference
    on Human-Computer Interaction</i>, <i>Lecture Notes in Computer Science </i>.
    Bd. 12203. Berlin : Springer, 2020, S. 178–192'
  havard: 'A. Besginow, S. Büttner, C. Röcker, Making Object Detection Available to
    Everyone - A Hardware Prototype for Semi-automatic Synthetic Data Generation,
    in: 22nd International Conference on Human-Computer Interaction, Springer, Berlin,
    2020: pp. 178–192.'
  ieee: 'A. Besginow, S. Büttner, and C. Röcker, “Making Object Detection Available
    to Everyone - A Hardware Prototype for Semi-automatic Synthetic Data Generation,”
    in <i>22nd International Conference on Human-Computer Interaction</i>, Copenhagen,
    Denmark, 2020, vol. 12203, pp. 178–192. doi: <a href="https://doi.org/10.1007/978-3-030-50344-4_14">https://doi.org/10.1007/978-3-030-50344-4_14</a>.'
  mla: Besginow, Andreas, et al. “Making Object Detection Available to Everyone -
    A Hardware Prototype for Semi-Automatic Synthetic Data Generation.” <i>22nd International
    Conference on Human-Computer Interaction</i>, vol. 12203, Springer, 2020, pp.
    178–92, <a href="https://doi.org/10.1007/978-3-030-50344-4_14">https://doi.org/10.1007/978-3-030-50344-4_14</a>.
  short: 'A. Besginow, S. Büttner, C. Röcker, in: 22nd International Conference on
    Human-Computer Interaction, Springer, Berlin, 2020, pp. 178–192.'
  ufg: '<b>Besginow, Andreas/Büttner, Sebastian/Röcker, Carsten</b>: Making Object
    Detection Available to Everyone - A Hardware Prototype for Semi-automatic Synthetic
    Data Generation, in: o. Hg.: 22nd International Conference on Human-Computer Interaction,
    Bd. 12203, Berlin 2020 (Lecture Notes in Computer Science ),  S. 178–192.'
  van: 'Besginow A, Büttner S, Röcker C. Making Object Detection Available to Everyone
    - A Hardware Prototype for Semi-automatic Synthetic Data Generation. In: 22nd
    International Conference on Human-Computer Interaction. Berlin: Springer; 2020.
    p. 178–92. (Lecture Notes in Computer Science ; vol. 12203).'
conference:
  end_date: 2020-07-24
  location: Copenhagen, Denmark
  name: 22nd International Conference on Human-Computer Interaction
  start_date: 2020-07-19
date_created: 2020-11-26T14:10:04Z
date_updated: 2025-06-26T13:28:35Z
department:
- _id: DEP5023
doi: https://doi.org/10.1007/978-3-030-50344-4_14
intvolume: '     12203'
keyword:
- Object detection
- Synthetic datasets
- Machine learning
- Deep learning
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://link.springer.com/chapter/10.1007/978-3-030-50344-4_14
oa: '1'
page: 178-192
place: Berlin
publication: 22nd International Conference on Human-Computer Interaction
publication_identifier:
  eisbn:
  - 978-3-030-50344-4
  isbn:
  - 978-3-030-50343-7
publication_status: published
publisher: Springer
series_title: 'Lecture Notes in Computer Science '
status: public
title: Making Object Detection Available to Everyone - A Hardware Prototype for Semi-automatic
  Synthetic Data Generation
type: conference
user_id: '83781'
volume: 12203
year: '2020'
...