Applying optimized YOLOv8 for heritage conservation: enhanced object detection in Jiangnan traditional private gardens

Applying optimized YOLOv8 for heritage conservation: enhanced object detection in Jiangnan traditional private gardens

Abstract This study aims to promote the protection and inheritance of cultural heritage in private gardens in the Jiangnan area of China. By establishing a precise visual labeling system and accelerating the construction of a database for private garden features, we deepen the understanding of garde...

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Bibliographic Details
Main Authors: Chan Gao, Qingzhu Zhang, Zheyu Tan, Genfeng Zhao, Sen Gao, Eunyoung Kim, Tao Shen
Format: Article
Language:English
Published: SpringerOpen 2024-01-01
Series:Heritage Science
Subjects:
Jiangnan private gardens
Heritage protection
Object detection
Machine learning
YOLOv8
Online Access:https://doi.org/10.1186/s40494-024-01144-1

Internet

https://doi.org/10.1186/s40494-024-01144-1

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