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The Effect of Neural Network Hyperparameters on the Quality of Object Recognition

Year: 2025

Type: conference-paper

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.

DOI: 10.58168/cismp2024_190-194

Authors: A. Rogozin, V. Shatskikh

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

OpenAlex ID: W4409416355

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