Analysis of Algorithms for Searching Objects in Images Using Convolutional Neural Network-Reference-Cited by-同舟云学术

Analysis of Algorithms for Searching Objects in Images Using Convolutional Neural Network

Published:2021-12-17 Issue:2 Volume:6 Page:128-133
ISSN:2524-0382
Container-title:Advances in Cyber-Physical Systems
language:
Short-container-title:ACPS

Author:

Koval Ihor,

Abstract

The problem of finding objects in images using modern computer vision algorithms has been considered. The description of the main types of algorithms and methods for finding objects based on the use of convolutional neural networks has been given. A comparative analysis and modeling of neural network algorithms to solve the problem of finding objects in images has been conducted. The results of testing neural network models with different architectures on data sets VOC2012 and COCO have been presented. The results of the study of the accuracy of recognition depending on different hyperparameters of learning have been analyzed. The change in the value of the time of determining the location of the object depending on the different architectures of the neural network has been investigated.

Publisher

Lviv Polytechnic National University

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