Investigating and Identifying the Surface Damage of Traditional Ancient Town Residence Roofs in Western Zhejiang Based on YOLOv8 Technology
Source abstract
Abstract
The environment continues to erode the roofs of ancient buildings in Longmen Ancient Town, posing a threat to the safety of villagers. Scientific detection and diagnosis are important steps in the repair and protection of historical buildings. In order to effectively protect cultural heritage, this study uses the YOLOv8 deep learning model to automatically detect damage on images of traditional residential roofs. The researchers constructed image data sets for the four categories of green vegetation, dry vegetation, missing tiles, and repaired tiles and then perform model training. The results show that the model is generally accurate for missing tiles (0.94 for missing tiles and 0.93 for repaired tiles), and it has a low false detection rate and a low missed detection rate. It does make some mistakes when it comes to green and dry vegetation in complex backgrounds, but the overall detection coverage and F1 score are better. This practical application shows that the model can accurately mark most target areas, especially for the recognition of high-contrast damage types. This study provides efficient and accurate technical support for the diagnosis of traditional roof structures and protection of cultural heritage.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Urban Heat Island Mitigation · 3D Surveying and Cultural Heritage · Conservation Techniques and Studies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Center for Liangzhu Civilization Studies and Center for Cultural Heritage Studies, Hangzhou City University, No. 51 Huzhou Street, Gongshu District, Hangzhou 310015, China
Faculty of Humanities and Arts, Macau University of Science and Technology, Avenida Wai Long, Tapai, Macau 999078, China
Heritage Conservation Laboratory, Macau University of Science and Technology, Avenida Wai Long, Tapai, Macau 999078, China
Faculty of Innovation and Design, City University of Macau, Avenida Padre Tomás Pereira, Taipa, Macau 999078, China
Hangzhou Animation & Game College, Hangzhou Vocational & Technical College, No.68 Xueyuan Street, Xiasha Higher Education Park, Qiantang District, Hangzhou 314423, China
Funding
The Humanities and Social Sciences Youth Foundation, Ministry of Education of the People’s Republic of China · Ministry of Education of the People’s Republic of China Industry-University-Research Project · Zhejiang Provincial Philosophy and Social Sciences Planning Project
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