中小桥结构表面状态识别精度测试数据

中小桥结构表面状态识别精度测试数据主要面向桥梁表观病害的计算机视觉识别研究。数据是针对现有46种表观病害现场分别拍摄了100张现场图片（共计4600张，本数据集选取了其中代表性的460张），利用项目所研发的桥梁结构表面状态视觉识别系统，对原始图片所属的病害种类进行识别所产生的，主要记录了桥梁表观病害现场拍摄图片（部分）以及各种表观病害对应的识别结果及其分析数据，可用于评价项目所研发的桥梁结构表面状态视觉识别系统的识别精度，数据量约75.7MB。

This dataset of recognition accuracy test data for the surface conditions of medium and small bridges is primarily intended for computer vision-based research on bridge surface disease recognition. The original data collection included taking 100 on-site images for each of the 46 existing types of surface diseases, totaling 4600 images, and 460 representative images were selected from this dataset. The recognition results and corresponding analysis data were generated by applying the visual recognition system for bridge structure surface conditions developed by the relevant project to identify the disease category of each original image. This dataset mainly records partial on-site captured images of bridge surface diseases, as well as the recognition results and their analysis data corresponding to various surface diseases. It can be used to evaluate the recognition accuracy of the developed visual recognition system for bridge structure surface conditions, with a total data volume of approximately 75.7 MB.

搜集汇总

背景与挑战

背景概述

该数据集主要用于桥梁表观病害的计算机视觉识别研究，包含460张现场拍摄的病害图片及其识别结果，旨在评估桥梁结构表面状态视觉识别系统的精度。数据来源于国家重点研发计划项目，涉及深度学习技术，适用于桥梁工程和人工智能领域的损伤识别分析。