Facade Damage Dataset

The dataset aims to compile images of buildings with structural damage for analysis. The images can be classified by the severity of damage to building facades after seismic events using deep learning techniques, particularly pre-trained convolutional neural networks and transfer learning. The analysis can precisely identify structural damage levels, aiding in effective evaluation and response strategies.

本数据集旨在收集带有结构损伤的建筑图像以开展分析研究。可借助深度学习技术——尤其是预训练卷积神经网络（Convolutional Neural Networks）与迁移学习（Transfer Learning）——依据地震事件后建筑外立面的损伤严重程度对上述图像进行分类。该分析可精准识别结构损伤等级，助力高效开展灾害评估与应急响应策略制定。

搜集汇总

背景与挑战

背景概述

Facade Damage Dataset是一个用于分析建筑物结构损伤的数据集，特别关注地震后外立面的损伤程度分类。数据集以Excel文件形式提供，包含指向相关图像文档的链接，适用于深度学习和迁移学习技术的应用。