Initial Research on Fruit Classification Methods Using Deep Neural Networks

Zbigniew Nasarzewski , Piotr Garbat

Abstract

In the following paper, the methods from deep learning area, with the classical method of machine learning, have been compared. The fine-tuned networks: VGG, ResNet and MobileNet, as well as SVM, have been put together. Models of neural networks were trained using own dataset of fruit photos taken in laboratory conditions with the help of high-speed industrial cameras.
Author Zbigniew Nasarzewski (FEIT / IRMT)
Zbigniew Nasarzewski,,
- The Institute of Radioelectronics and Multimedia Technology
, Piotr Garbat (FEIT / MO)
Piotr Garbat,,
- The Institute of Microelectronics and Optoelectronics
Pages108-113
Publication size in sheets0.5
Book Choraś Michał, Choraś Ryszard S. (eds.): Image Processing and Communications: Techniques, Algorithms and Applications, Advances in Intelligent Systems and Computing, vol. 1062, 2020, Springer, ISBN 978-3-030-31253-4, [eBook 978-3-030-31254-1], 340 p., DOI:10.1007/978-3-030-31254-1
DOIDOI:10.1007/978-3-030-31254-1_14
URL https://www.springer.com/gp/book/9783030312534
Languageen angielski
Score (nominal)20
Score sourcepublisherList
ScoreMinisterial score = 20.0, 03-07-2020, ChapterFromConference
Publication indicators Scopus Citations = 0
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