A Sample Weight and AdaBoost CNN-Based Coarse to Fine Classification of Fruit and Vegetables at a Supermarket Self-Checkout

A Sample Weight and AdaBoost CNN-Based Coarse to Fine Classification of Fruit and Vegetables at a Supermarket Self-Checkout

The physical features of fruit and vegetables make the task of vision-based classification of fruit and vegetables challenging. The classification of fruit and vegetables at a supermarket self-checkout poses even more challenges due to variable lighting conditions and human factors arising from cust...

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Bibliographic Details
Main Authors: Khurram Hameed, Douglas Chai, Alexander Rassau
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Applied Sciences
Subjects:
adaboost cnn optimisation
image classification
convolutional neural networks
supermarket self-checkouts
fruit and vegetables classification
progressive classification
Online Access:https://www.mdpi.com/2076-3417/10/23/8667

Internet

https://www.mdpi.com/2076-3417/10/23/8667

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