Scheffler B, Bründl P, Nguyen HG, Stoidner M, Franke J (2024)
Publication Type: Journal article
Publication year: 2024
Book Volume: 11
Article Number: 309
Issue: 1
DOI: 10.1038/s41597-024-03155-w
Data quality is of crucial importance in the field of automated or digitally assisted assembly. This paper presents a comprehensive data set of triangle meshes representing electrical and electronic components obtained by scraping Computer Aided Design (CAD) models from the Internet. Consisting of a total of 234 triangle meshes with labelled vertices, this data set was specifically created for segmentation tasks. Its versatility for multimodal tasks is underscored by the presence of various labels, including vertex labels, categories, and subcategories. This paper presents the data set and provides a thorough statistical analysis, including measures of shape, size, distribution, and inter-rater reliability. In addition, the paper suggests several approaches for using the data set, considering its multimodal characteristics. The data set and related findings presented in this paper are intended to encourage further research and advancement in the field of manufacturing automation, specifically spatial assembly.
APA:
Scheffler, B., Bründl, P., Nguyen, H.G., Stoidner, M., & Franke, J. (2024). A Dataset of Electrical Components for Mesh Segmentation and Computational Geometry Research. Scientific Data, 11. https://doi.org/10.1038/s41597-024-03155-w
MLA:
Scheffler, Benedikt, et al. "A Dataset of Electrical Components for Mesh Segmentation and Computational Geometry Research." Scientific Data 11 (2024).
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