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Conjunto de datos de fachada de edificios de alta resolución para el análisis de elementos de fachada

Shuchang Xu1, Fan Wu1, Junjie Cheng1

  • 1School of Information Science and Technology, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China.

Data in brief
|August 21, 2025
PubMed
Resumen
Este resumen es generado por máquina.

Un nuevo conjunto de datos de fachadas de edificios de alta resolución, hznu_facade, ofrece datos extensos para el modelado urbano y la construcción de gemelos digitales. Cuenta con anotaciones detalladas, especialmente para ventanas, avanzando en el reconocimiento de elementos arquitectónicos.

Palabras clave:
ArquitecturaVisión por computadoraAnálisis de fachadas

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Área de la Ciencia:

  • Visión por computadora
  • Planificación urbana
  • Arquitectura digital

Sus antecedentes:

  • El modelado urbano y las ciudades gemelas digitales requieren datos de fachada de alta resolución.
  • Los conjuntos de datos existentes carecen de anotaciones completas para los elementos arquitectónicos, en particular las ventanas.
  • Los diversos estilos arquitectónicos y las condiciones de iluminación son cruciales para el análisis robusto de la fachada.

Objetivo del estudio:

  • Introducir el conjunto de datos hznu_facade para el modelado urbano y la construcción de gemelos digitales.
  • Proporcionar un rico recurso para el análisis de fachadas y el reconocimiento de elementos arquitectónicos.
  • Establecer un punto de referencia para los algoritmos de análisis de fachadas.

Principales métodos:

  • Recogió imágenes de fachadas de 624 edificios en Hangzhou, China.
  • Creó versiones gemelas de imágenes con corrección de perspectiva.
  • Anotó seis categorías (edificios, automóviles, árboles, ventanas, cielos, puertas) utilizando modelos de segmentación, centrándose en los datos de ventanas de alta densidad (43.277 ventanas).

Principales resultados:

  • El conjunto de datos hznu_facade contiene 624 imágenes de fachadas de edificios con corrección de perspectiva.
  • Cuenta con anotaciones de alta densidad para 43.277 ventanas, superando los conjuntos de datos existentes.
  • Incluye imágenes en diversas condiciones de iluminación, mejorando la utilidad de los datos.

Conclusiones:

  • El conjunto de datos hznu_facade avanza significativamente en el análisis de fachadas de edificios y el reconocimiento de elementos arquitectónicos.
  • Sirve como un punto de referencia valioso para los algoritmos de análisis de fachadas.
  • El conjunto de datos soporta aplicaciones en modelado urbano, gemelos digitales y realidad virtual.