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博士論文

小物体検出のためのYOLOv8の改良およびその保育環境への応用

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DOI[10.18997/0002001056]to the data of the same series

小物体検出のためのYOLOv8の改良およびその保育環境への応用

Persistent ID (NDL)
info:ndljp/pid/13874053
Material type
博士論文
Author
Supri Bin Amir,
Publisher
-
Publication date
2024-09-25
Material Format
Digital
Capacity, size, etc.
-
Name of awarding university/degree
九州工業大学,博士（工学）
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九州工業大学博士学位論文 学位記番号:生工博甲第497号 学位授与年月日:令和6年9月25日令和6年度

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Summary, etc.：

The aim of this study is to establish a general methodology for the detection of small objects, applying it to the nursery environment as an example. ...

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Table of Contents

Provided by：学術機関リポジトリデータベース（IRDB）（機関リポジトリ）Link to Help Page

  • 1 Introduction| 2 Related Literature| 3 Analyzing the impact of integrating attention mechanisms into the YOLOv8 for the nursery dataset| 4 Enhancing Small Object Detection for Nursery Environment| 5 Discussion| 6 Conclusions

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Digital

Material Type
博士論文
Title
小物体検出のためのYOLOv8の改良およびその保育環境への応用
Author/Editor
Supri Bin Amir,
Author Heading
Supri Bin Amir,
Publication Date
2024-09-25
Publication Date (W3CDTF)
2024-09-25
Alternative Title
Small Object Detection Based on Improved YOLOv8 and Its Application to Nursery Environment
Degree grantor/type
九州工業大学
Date Granted
2024-09-25
Date Granted (W3CDTF)
2024-09-25