TY - DATA
T1 - Extension to IndustReal Dataset: Assembly State Recognition with Error States
PY - 2024/10/28
AU - Tim J. Schoonbeek
AU - Goutham  Balachandran
AU - Hans Onvlee
AU - Tim Houben
AU - Shao-Hsuan Hung
AU - Jacek Kustra
AU - Peter H.N. de With
AU - Fons van der Sommen
UR - 
DO - 10.4121/611adbc7-7935-43a6-8c3f-b2260a508e73.v1
KW - assembly state recognition
KW - error recognition
KW - assembly error
KW - procedure error
KW - computer vision
KW - industrial AI
KW - industry 4.0
KW - procedure understanding
KW - egocentric
N2 - <p>This dataset contains the assembly state images and annotations as an extension to the public <a href="https://data.4tu.nl/datasets/b008dd74-020d-4ea4-a8ba-7bb60769d224" target="_blank">IndustReal dataset</a>. 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.</p>
ER -