遇见数据集

Building Data set

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Mendeley Data2026-04-09 收录
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The current dataset is prepared to feed ML algorithms for finding emergency exits in buildings. Emergency exits are the two doors on each floor that connect an air-lock space to the stairwell, and the pattern is quite similar in most high-rise buildings. This led to the selection of the following two attributes: 'the distance to the nearest door' and 'the distance to the nearest stairwell'. The datasets comprise manually labeled data with 1732 door samples from four high-rise building models, containing 1517 'non-Emergency Exit' and 215 'Emergency Exit', each with the two mentioned attributes.

本数据集旨在为机器学习(Machine Learning)算法提供训练数据,以实现建筑物内紧急出口的识别任务。紧急出口指每层楼中连接气闸空间与楼梯间的两道门,该布局形式在绝大多数高层建筑中高度一致。基于此,本次研究选取了如下两个特征属性:“距最近门的距离”与“距最近楼梯间的距离”。 本数据集包含经人工标注的样本数据,源自4栋高层建筑模型,共计1732个门样本,其中1517个为“非紧急出口”样本,215个为“紧急出口”样本,所有样本均标注了上述提及的两个特征属性。

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