THE EFFECT OF NEURAL NETWORK HYPERPARAMETERS ON THE QUALITY OF OBJECT RECOGNITION

This article discusses the main stages of training a neural network model for determining objects in real time, as well as the influence of some hyperparameters on the accuracy and speed of the model being trained based on the YOLOv8 architecture.

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Published
2025-04-14
DOI
https://doi.org/10.58168/cismp2024_190-194
Primary Topic
Neural Networks and Applications
Type
article
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article

THE EFFECT OF NEURAL NETWORK HYPERPARAMETERS ON THE QUALITY OF OBJECT RECOGNITION

А.А. Рогозин, V. Shatskikh
Neural Networks and Applications
article

THE EFFECT OF NEURAL NETWORK HYPERPARAMETERS ON THE QUALITY OF OBJECT RECOGNITION

А.А. Рогозин, V. Shatskikh
article en

Abstract

This article discusses the main stages of training a neural network model for determining objects in real time, as well as the influence of some hyperparameters on the accuracy and speed of the model being trained based on the YOLOv8 architecture.

Combat Medical (Spain) (ES)
Openalex Percentile: Top 97%
Neural Networks and Applications
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THE EFFECT OF NEURAL NETWORK HYPERPARAMETERS ON THE QUALITY OF OBJECT RECOGNITION — А.А. Рогозин, V. Shatskikh · (2025) | TGRS Research Map | TGRS