Academic Journal of Computing & Information Science, 2022, 5(2); doi: 10.25236/AJCIS.2022.050208.
Zhenlin He1, Zixuan Zhang2, Guodong Feng3, Ziyi Yan4, Lubin Yi5, Zihan Yi6
1South China University Of Technology, Guangzhou, China
2Hungarian-Chinese Bilingual Primary School and High School, Budapest, Hungary
3RDFZ Chaoyang Branch School, Beijing, China
4International Department of Beijing No.35 High School, Beijing, China
5Henan University of Economics and Law, Zhengzhou, China
6Nanjing University of the Arts, Nanjing, China
In recent years, food image recognition has emerged as a research hotspot in the field of computer vision. This paper proposes a dish recognition system based on image recognition and deep learning image processing and recognition, which can replace manual dish recognition. Because the food image is complex and dynamic, the system employs a Convolutional Neural Network (CNN). The dish detection algorithm has been completed using CNN. Multiple sets of comparative experiments were designed for the data before and after the improvement, and the ionfluence of the improvement points on the test data results was analyzed.
Deep Learning; CNN; Image Recognition
Zhenlin He, Zixuan Zhang, Guodong Feng, Ziyi Yan, Lubin Yi, Zihan Yi. Dishes Recognition System Based on Deep Learning. Academic Journal of Computing & Information Science (2022), Vol. 5, Issue 2: 48-53. https://doi.org/10.25236/AJCIS.2022.050208.
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