Dataset for multiclassification of parts in industry
Published: 2 October 2019| Version 1 | DOI: 10.17632/2pvx4nwk4w.1
Contributors:
Herberth Fröhlich, , Description
Data used with 5 different parts for iterative reference set creation. Images were taken with a Logitech camera from parts that were positioned on a table in different ways. It contains two folders, a development one and a test one, randomly built. This is a small dataset that suits the purpose of not using lots of data for multiclassification, which was the objective of the present work. It was shown that is possible to acquire just some relevant images from each in order to train a classifier, a feature descriptor in this case.
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Institutions
Rheinisch Westfalische Technische Hochschule Aachen, Universidade Federal de Santa Catarina
Categories
Image Processing, Image Classification