PaveTrack: A Large-Scale Image Repository for Automated Pavement Distress Analysis and Degradation Trend Prediction

The dataset in this study consists of two components: the first component is the annotation of pavement distress, wherein all identified instances of distress are annotated by enclosing them with bounding boxes and classified by appending the appropriate category labels. The second component involves long-term photographic tracking of certain pavement distresses, accompanied by refined segmentation to evaluate changes in the morphology and area of the distresses.

本研究中的数据集包含两个组成部分：第一部分为路面病害标注集，所有已识别的病害实例均通过边界框（bounding box）进行框选标注，并通过添加对应类别标签完成分类。第二部分针对部分路面病害开展长期影像追踪，并辅以精细化分割（segmentation）操作，以评估病害的形态与面积变化情况。

搜集汇总

背景与挑战

背景概述

PaveTrack是一个大规模图像数据集，主要用于自动化路面损坏分析和退化趋势预测。数据集包含路面损坏的标注和长期跟踪图像，支持对损坏形态和面积变化的评估。