Retail Product Classification on Distinct Distribution of Training and Evaluation Data

• Published in: Pattern recognition and image analysis Vol. 32; no. 1; pp. 142 - 152
• Main Authors: Jonathan, Kusuma, Gede Putra
• Format: Journal Article
• Language: English
• Published: Moscow Pleiades Publishing 01.03.2022; Springer Nature B.V
• Subjects: Accuracy; Application Problems; Artificial neural networks; Classification; Computer Science; Computer vision; Evaluation; Image classification; Image Processing and Computer Vision; Object recognition; Pattern Recognition; Training; deep learning; image classification; retail product classification; dilated convolution; convolutional neural network

Retail product classification can be beneficial in the world of commerce, take for example helping vision-disabled parties in their shopping or evaluating product placement strategy. However, the available datasets for retail product classification are few and some have very distinct distribution of...