Performance of Various Deep-Learning Networks in the Seed Classification Problem

We report the results of an in-depth study of 15 variants of five different Convolutional Neural Network (CNN) architectures for the classification of seeds of seven different grass species that possess symmetry properties. The performance metrics of the nets are investigated in relation to the comp...

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Bibliographic Details
Main Authors: Recep Eryigit, Bulent Tugrul
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Symmetry
Subjects:
Online Access:https://www.mdpi.com/2073-8994/13/10/1892