Image recognition using artificial intelligence
Journal Title: Modern Innovations, Systems and Technologies - Year 2023, Vol 3, Issue 4
Abstract
The article sets the task of considering the process of image recognition using convolutional neural networks. Image recognition is a key component of computer vision, which gives the system the ability to recognize and understand objects, places, people, language and behavior in digital images. Computer vision-enabled systems use data-driven image recognition algorithms to serve a wide range of applications. The paper analyzes the structure of the market for the use of the most common biometric technologies in various business areas in the domestic market, as well as a comparison with the world market. The task involves considering the difficulties that the machine faces when obtaining an image for processing, which can be tracked using learning curves. Learning curves are an excellent diagnostic tool for determining bias and variance in a controlled machine learning algorithm. Therefore, understanding the nature of errors in training artificial intelligence in the process of image recognition is necessary knowledge in the modern world, as it helps to avoid the stage of repeated retraining of the sample.
Authors and Affiliations
E. V. Khrol, K. S. Sharonova
Keywords
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- EP ID EP729384
- DOI 10.47813/2782-2818-2023-3-4-0311-0321
- Views 48
- Downloads 0
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