COCO-Bridge: Common Objects in Context Dataset for Structural Detail Detection of Bridges

Common Objects in Context for bridge inspection (COCO-Bridge) is an image-based dataset for use by unmanned aircraft systems (UAS) to assist in GPS denied environments, flight-planning, and detail identification and contextualization, but has far-reaching applications such as augmented reality. COCO-Bridge was introduced to augment an unmanned aerial vehicle (UAV) conducted bridge inspection process. UAVs have a notoriously difficult time operating near bridges because the signal can be lost between the operator and the UAV. This effort begins the process of building a publicly available dataset, examining model performance enhancements through image augmentation, and hosting a website repository of necessary code, raw images, and annotated data to access and contribute to the advancement of A.I in civil engineering. While there are datasets which have focused on detecting defects, this dataset focused on identifying specific parts of a bridge or structural bridge details to make educated autonomous decisions during flight. The image dataset consisted of 774 images and over 2,500 object instances to detect four structural bridge details. Methods to economize the predictive capabilities of the model without the addition of unique data were investigated to extend the performance of the training images. It was concluded that model performance was improved by selectively augmenting the training data about the y-axis.

COCO-Bridge（通用物体在场景中的桥梁数据集）是一项基于图像的数据集，旨在为无人机系统（UAS）在无GPS信号环境下提供辅助，包括飞行规划、细节识别与情境化，其应用范围亦涵盖增强现实等领域。COCO-Bridge的提出旨在增强无人机桥梁检测过程。无人机在桥附近操作历来面临挑战，因操作者与无人机之间可能丢失信号。本项工作旨在构建一个公开可用的数据集，通过图像增强手段考察模型性能的提升，并搭建一个代码、原始图像及标注数据仓库的网站，以促进人工智能在土木工程领域的进步。尽管已有数据集专注于缺陷检测，但本数据集专注于识别桥梁或结构细节的特定部分，以便在飞行过程中做出明智的自主决策。该图像数据集包含774张图像和超过2,500个待检测的物体实例，用于识别四种结构桥梁细节。研究了在不增加独特数据的情况下，如何降低模型预测能力的方法，以扩展训练图像的性能。研究结果表明，通过选择性增强关于y轴的训练数据，模型性能得到了提升。

搜集汇总

背景与挑战

背景概述

COCO-Bridge是一个专为桥梁结构细节检测设计的图像数据集，包含774张图像和2500多个对象实例，旨在辅助无人机在GPS受限环境中进行桥梁检查，并支持人工智能在土木工程中的应用。