IMPROVEMENT OF THE YOLOV8 OBJECT DETECTION MODEL BASED ON CHANGES IN THE MODEL'S ARCHITECTURE

Authors

  • Thị Ngọc Hân Phan CNTT

DOI:

https://doi.org/10.71091/2354-113X/242

Abstract

Object detection is one of the most prominent topics in deep learning due to its high applicability, ease of data preparation, and a wide range of practical applications.

Object detection is one of the most prominent topics in deep learning due to its high applicability, ease of data preparation, and a wide range of practical applications.

This research aims to improve the accuracy and speed of the Yolov8 application by changing in the model’s achitecture.

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Published

27-10-2025

How to Cite

Phan, T. N. H. (2025). IMPROVEMENT OF THE YOLOV8 OBJECT DETECTION MODEL BASED ON CHANGES IN THE MODEL’S ARCHITECTURE. HUFLIT Journal of Science, 9(3), 1. https://doi.org/10.71091/2354-113X/242

Issue

Vol. 9 No. 3 (2025): Vol 9 (No.3)

Section

Science and Technology

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