On Human-Machine Interaction during Online Image Classifier Training

This paper considers a number of issues that arise when a trainable machine vision system learns directly from humans, rather than from a "cleaned" data set, i.e. data items which are perfectly labelled with complete accuracy. This is done within the context of a generic system for the vis...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Lughofer, E., Smith, J., Caleb-Solly, P., Tahir, M.A., Eitzinger, C., Sannen, D., Van Brussel, H.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Application software Computer vision human-machine interaction Humans Image classification Inspection Machine learning Machine vision Man machine systems Manufacturing on-line adaptivity Production Surface treatment
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