Extension to IndustReal Dataset: Assembly State Recognition with Error States

DOI:10.4121/611adbc7-7935-43a6-8c3f-b2260a508e73.v2
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/611adbc7-7935-43a6-8c3f-b2260a508e73

Datacite citation style

Schoonbeek, Tim J.; Balachandran, Goutham; Onvlee, Hans; Houben, Tim; Hung, Shao-Hsuan et. al. (2025): Extension to IndustReal Dataset: Assembly State Recognition with Error States. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/611adbc7-7935-43a6-8c3f-b2260a508e73.v2
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Version 2 - 2025-09-25 (latest)
Version 1 - 2024-10-28

Update to dataset, now including all synthetic data as well.

This dataset contains the assembly state images and annotations as an extension to the public. Whereas the original dataset only classifies assembly errors as error class, we define fine-grained annotations and error type classifications for every assembly error in the dataset. These labels enable researchers to continue studying procedural and execution errors in assembly and maintenance tasks.

History

  • 2024-10-28 first online
  • 2025-09-25 published, posted

Publisher

4TU.ResearchData

Format

images/jpg, annotations/json

Organizations

Eindhoven University of Technology, Department of Electrical Engineering, and
ASML Research

DATA

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