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- Article name
- USING CONVOLUTIONAL NEURAL NETWORKS TO SOLVE IMAGE RECOGNITION PROBLEMS IN INDUSTRY
- Authors
- Zhalyalov R. R., , zhalyalov.rr@mail.ru, Bauman Moscow State Technical University, Moscow, Russia
- Keywords
- computer vision / convolutional neural networks / object recognition / identification / classification / vanishing gradient / ImageNet / AlexNet / VGG / Inception / ResNet / SENet / EfficientNet
- Year
- 2023 Issue 2 Pages 21 - 31
- Code EDN
- JKWIIF
- Code DOI
- 10.52190/2073-2597_2023_2_21
- Abstract
- The article provides examples of the use of computer vision technologies in Russian and foreign companies. The actual problems of industry related to the use of computer vision are considered. Various variants of computer vision implementation based on convolutional neural networks are described. An overview of popular convolutional neural network architectures is given and their comparative analysis is carried out.
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