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- Article name
- IMPROVING THE QUALITY OF DATASET PREPARATION FOR AUTOMATION OF INDUSTRIAL VISUAL CONTROL PROCESSES OF ASSEMBLY OPERATIONS
- Authors
- Pirogova M. A., , PirogovaMA@mpei.ru, National Research University Moscow Power Engineering Institute, Moscow, Russia
Krayushkin V. A., , vkray@pts-russia.com, LLC "Pruductive Ttchnology Systems", Moscow, Russia
Leshilkhina I. E., , liy56@mail.ru, National Research University "Moscow Power Engineering Institute", Moscow, Russia
- Keywords
- artificial intelligence / computer vision / datasets / classification / image processing / neural networks / transfer learning / accuracy / loss
- Year
- 2025 Issue 2 Pages 3 - 8
- Code EDN
- SRGVEW
- Code DOI
- 10.52190/2073-2597_2025_2_3
- Abstract
- This article discusses the influence of the structure and composition of datasets on the performance of a prototype visual inspection workplace that uses the method of transfer learning of a standard neural network model to classify an inspected sample, and identifies the factors of the structure and composition of datasets that affect performance.
- Text
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