Improving Object Detection Performance through YOLOv8: A Comprehensive Training and Evaluation Study

Fuente: arXiv
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Autori principali: Poureskandar, Rana, Razzagzadeh, Shiva
Natura: Preprint
Pubblicazione: 2025
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author Poureskandar, Rana
Razzagzadeh, Shiva
author_facet Poureskandar, Rana
Razzagzadeh, Shiva
contents This study evaluated the performance of a YOLOv8-based segmentation model for detecting and segmenting wrinkles in facial images.
format Preprint
id arxiv_https___arxiv_org_abs_2505_11424
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Improving Object Detection Performance through YOLOv8: A Comprehensive Training and Evaluation Study
Poureskandar, Rana
Razzagzadeh, Shiva
Computer Vision and Pattern Recognition
Artificial Intelligence
Machine Learning
This study evaluated the performance of a YOLOv8-based segmentation model for detecting and segmenting wrinkles in facial images.
title Improving Object Detection Performance through YOLOv8: A Comprehensive Training and Evaluation Study
topic Computer Vision and Pattern Recognition
Artificial Intelligence
Machine Learning
url https://arxiv.org/abs/2505.11424