High resolution building facade dataset for facade elements parsingMendeley Data

This paper introduces a high-resolution building facade dataset—hznu_facade, designed to provide rich data support for urban modeling, digital twin city construction, and facade analysis tasks. The dataset comprises facade images of 624 buildings from Hangzhou, China, covering diverse architectural...

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Main Authors: Shuchang Xu, Fan Wu, Junjie Cheng, Wenzhen Yang
Format: Article
Language:English
Published: Elsevier 2025-10-01
Series:Data in Brief
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340925006742
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author Shuchang Xu
Fan Wu
Junjie Cheng
Wenzhen Yang
author_facet Shuchang Xu
Fan Wu
Junjie Cheng
Wenzhen Yang
author_sort Shuchang Xu
collection DOAJ
description This paper introduces a high-resolution building facade dataset—hznu_facade, designed to provide rich data support for urban modeling, digital twin city construction, and facade analysis tasks. The dataset comprises facade images of 624 buildings from Hangzhou, China, covering diverse architectural styles from both commercial and residential areas. Additionally, it offers twin versions of the facade images with perspective correction. To ensure data diversity, the dataset includes images captured under various lighting conditions, including challenging environments such as direct sunlight and backlighting. Furthermore, the dataset places particular emphasis on the annotation of window elements, offering high-density window information that significantly improves the capabilities for architectural element recognition and analysis. During the annotation process, this paper leverages existing segmentation models to assist in the labelling of architectural elements, covering six primary categories: buildings, cars, trees, windows, skies, and doors. The dataset annotates a total of 43,277 windows, far exceeding existing related datasets, highlighting its strong potential for building analysis, architectural element recognition, and virtual reality (VR) applications. This dataset provides an valuable benchmark for facade parsing algorithms, contributing to the advancement of research and development in this field.
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institution Kabale University
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publishDate 2025-10-01
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spelling doaj-art-1e8a56794bbb40978c08cce510d79b172025-08-20T03:36:35ZengElsevierData in Brief2352-34092025-10-016211195010.1016/j.dib.2025.111950High resolution building facade dataset for facade elements parsingMendeley DataShuchang Xu0Fan Wu1Junjie Cheng2Wenzhen Yang3School of Information Science and Technology, Hangzhou Normal University, Hangzhou, Zhejiang 311121, ChinaSchool of Information Science and Technology, Hangzhou Normal University, Hangzhou, Zhejiang 311121, ChinaSchool of Information Science and Technology, Hangzhou Normal University, Hangzhou, Zhejiang 311121, ChinaZhejiang Lab, Intelligent Equipment Research Center, Hangzhou, Zhejiang, China; College of Computer Science and Technology, Zhejiang University, Hangzhou, Zhejiang, China; Corresponding author.This paper introduces a high-resolution building facade dataset—hznu_facade, designed to provide rich data support for urban modeling, digital twin city construction, and facade analysis tasks. The dataset comprises facade images of 624 buildings from Hangzhou, China, covering diverse architectural styles from both commercial and residential areas. Additionally, it offers twin versions of the facade images with perspective correction. To ensure data diversity, the dataset includes images captured under various lighting conditions, including challenging environments such as direct sunlight and backlighting. Furthermore, the dataset places particular emphasis on the annotation of window elements, offering high-density window information that significantly improves the capabilities for architectural element recognition and analysis. During the annotation process, this paper leverages existing segmentation models to assist in the labelling of architectural elements, covering six primary categories: buildings, cars, trees, windows, skies, and doors. The dataset annotates a total of 43,277 windows, far exceeding existing related datasets, highlighting its strong potential for building analysis, architectural element recognition, and virtual reality (VR) applications. This dataset provides an valuable benchmark for facade parsing algorithms, contributing to the advancement of research and development in this field.http://www.sciencedirect.com/science/article/pii/S2352340925006742Facade parsingComputer visionArchitecture
spellingShingle Shuchang Xu
Fan Wu
Junjie Cheng
Wenzhen Yang
High resolution building facade dataset for facade elements parsingMendeley Data
Data in Brief
Facade parsing
Computer vision
Architecture
title High resolution building facade dataset for facade elements parsingMendeley Data
title_full High resolution building facade dataset for facade elements parsingMendeley Data
title_fullStr High resolution building facade dataset for facade elements parsingMendeley Data
title_full_unstemmed High resolution building facade dataset for facade elements parsingMendeley Data
title_short High resolution building facade dataset for facade elements parsingMendeley Data
title_sort high resolution building facade dataset for facade elements parsingmendeley data
topic Facade parsing
Computer vision
Architecture
url http://www.sciencedirect.com/science/article/pii/S2352340925006742
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AT wenzhenyang highresolutionbuildingfacadedatasetforfacadeelementsparsingmendeleydata