Classification of brand images using convolutional neural networks

Ruf, YesimHanne, ThomasDornberger, RolfAbraham, AjithHanne, ThomasGandhi, NiketaMishra, Pooja ManghirmalaniBajaj, AnuSiarry, Patrick2025-03-132023978-3-031-27523-4978-3-031-27524-1https://doi.org/10.1007/978-3-031-27524-1_50https://irf.fhnw.ch/handle/11654/48188This paper investigates the classification of brand images using convolutional neural networks. Traditionally, the images must be manually named, classified, and tagged, which is a laborious and time-consuming task. Nowadays, these processes can be addressed with the help of computer vision for brand classification. An approach to create a Convolutional Neural Network (CNN) model with a high accuracy is proposed and discussed, in which the images in the classification process are automatically tagged with the predicted class name.en330 - WirtschaftClassification of brand images using convolutional neural networks04B - Beitrag Konferenzschrift528–539