Yielding Multi-Fold Training Strategy for Image Classification of Imbalanced Weeds

An imbalanced dataset is a significant challenge when training a deep neural network (DNN) model for deep learning problems, such as weeds classification. An imbalanced dataset may result in a model that behaves robustly on major classes and is overly sensitive to minor classes. This article propose...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Vo Hoang Trong, Yu Gwang Hyun, Kim Jin Young, Pham The Bao
Format:	Article
Language:	English
Published:	MDPI AG 2021-04-01
Subjects:	imbalanced dataset deep neural network weeds classification Grad-CAM
Online Access:	https://www.mdpi.com/2076-3417/11/8/3331