一个连接的建筑景观数据集用于实例细分
Zhihao Zheng1, Zhijin Chen2, Shujie Sun1
1Graduate School of Global Environmental Studies, Sophia University, Tokyo, Japan.
Scientific data
|December 3, 2025
概括
一个新的Connected Building Landscape数据集解决了东亚城市缺乏高质量的实例细分数据的问题. 这种资源有助于城市规划和计算机视觉,提供详细的建筑信息用于分析和危险映射.
科学领域:
- 计算机视觉 计算机视觉
- 城市规划 城市规划
- 建筑分析 建筑分析
背景情况:
- 高密度的东亚城市具有独特的建筑特征.
- 缺乏高质量的实例细分数据阻碍了这些城市环境中的研究.
- 现有的数据集不能充分捕捉东亚城市景观的复杂性.
研究的目的:
- 介绍连接建筑景观数据集,这是东亚城市环境的新资源.
- 促进对建筑形态分析的细分模型的培训和基准测试.
- 为城市规划人员提供工具,以生成危险分布图和文化遗产保护报告.
主要方法:
- 数据集包括2,801个JPEG图像 (1024 x 768像素) 与多边形细分面具.
- 标注以标准的JSON格式提供,以实现无模型集成.
- 基线实验使用Mask R-CNN和Mask2Former模型进行.
主要成果:
- 联网建筑景观数据集捕捉了各种建筑风格和复杂的空间布局.
- 基线实验证明了数据集对细分任务的质量和稳定性.
- 该数据集使人们能够更深入地了解东亚建筑形态.
结论:
- 联网建筑景观数据集是计算机视觉和城市规划研究的宝贵资源.
- 这一数据集支持更精确的城市规划工具和详细的分析报告.
- 它促进了东亚城市环境和建筑特征的研究.
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