%0 Generic %A Schoonbeek, Tim J. %A Balachandran, Goutham %A Onvlee, Hans %A Houben, Tim %A Hung, Shao-Hsuan %A Kustra, Jacek %A de With, Peter H.N. %A van der Sommen, Fons %D 2024 %T Extension to IndustReal Dataset: Assembly State Recognition with Error States %U %R 10.4121/611adbc7-7935-43a6-8c3f-b2260a508e73.v1 %K assembly state recognition %K error recognition %K assembly error %K procedure error %K computer vision %K industrial AI %K industry 4.0 %K procedure understanding %K egocentric %X
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.
%I 4TU.ResearchData