A Shallow Convolutional Neural Network for Apple Classification

A Shallow Convolutional Neural Network for Apple Classification

In the automatic apple sorting task, it is necessary to automatically classify certain apple species. A shallow convolutional neural network (CNN) architecture is proposed for this purpose. After collecting a certain number of apple images and labelling them, training data is obtained through a seri...

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Bibliographic Details
Main Authors: Jinquan Li, Shanshan Xie, Zhe Chen, Hongwen Liu, Jia Kang, Zixuan Fan, Wenjie Li
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Image classification
CNN
overfitting
smart visual Internet of Things
Online Access:https://ieeexplore.ieee.org/document/9118928/

Internet

https://ieeexplore.ieee.org/document/9118928/

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