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A mobile robot platform for supervised machine learning applications
Ist Teil von
2017 24th International Conference on Mechatronics and Machine Vision in Practice (M2VIP), 2017, p.1-6
Ort / Verlag
IEEE
Erscheinungsjahr
2017
Quelle
IEEE/IET Electronic Library (IEL)
Beschreibungen/Notizen
In supervised machine learning applications, a data set of training and validation features and labels is required to train a neural network. In this paper, we present a remote-controlled, mobile robot and describe software used to generate a data set for vision-based, supervised machine learning applications. We present results from an experiment, which validates the developed platform, and also demonstrate the use of a generated data set for training of a convolutional neural network to detect objects. We have uploaded the platform's hardware and software source files to GitHub; where, this work is freely available.