Initial Research on Fruit Classification Methods Using Deep Neural Networks
Zbigniew Nasarzewski , Piotr Garbat
AbstractIn 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.
|Publication size in sheets||0.5|
|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|
|Score||= 20.0, 03-07-2020, ChapterFromConference|
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