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.
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Acknowledgement
This work was supported by the National Centre for Research and Development, project: Operational Programme Intelligent Development 2014–2020, edition: 5/1.1.1/2017.
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Nasarzewski, Z., Garbat, P. (2020). Initial Research on Fruit Classification Methods Using Deep Neural Networks. In: Choraś, M., Choraś, R. (eds) Image Processing and Communications. IP&C 2019. Advances in Intelligent Systems and Computing, vol 1062. Springer, Cham. https://doi.org/10.1007/978-3-030-31254-1_14
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DOI: https://doi.org/10.1007/978-3-030-31254-1_14
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