Extension to IndustReal Dataset: Assembly State Recognition with Error States
DOI:10.4121/611adbc7-7935-43a6-8c3f-b2260a508e73.v1
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DOI: 10.4121/611adbc7-7935-43a6-8c3f-b2260a508e73
DOI: 10.4121/611adbc7-7935-43a6-8c3f-b2260a508e73
Datacite citation style
(2024): Extension to IndustReal Dataset: Assembly State Recognition with Error States. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/611adbc7-7935-43a6-8c3f-b2260a508e73.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
This dataset contains the assembly state images and annotations as an extension to the public IndustReal dataset. 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, published, posted
Publisher
4TU.ResearchDataFormat
images/jpg, annotations/jsonAssociated peer-reviewed publication
Supervised Representation Learning towards Generalizable Assembly State RecognitionOrganizations
Eindhoven University of Technology, Department of Electrical Engineering, andASML Research
