Asphalt Cracked and Uncracked Image Dataset

This dataset consists of 2000 cracked and uncracked images of asphalt pavement with an image resolution of 1440 x 1440, more than 8000 cracked and uncracked images of resolution 360x360 and more than 3000 cracked and uncracked images of resolution 720x720. The datasets of images with resolution 360x360 and 720x720 were created by splitting the original 1440 x 1440 dataset and picking the cracked and uncracked sub images. Original dataset was created using the same scale by ensuring the same image resolution of the camera and same working distance and field of view by mounting camera at same height , and hence, crack widths and lengths can be compared.
In order to collect the dataset, a vehicle-mounted camera enclosure system was used. A wooden chamber was constructed to enclose the camera with a high resolution of 1440x1440 and a frame rate of 30 fps. This wooden chamber was constructed from plywood sheets that were glued and screwed together, as well as wooden beams and dowels for reinforcement. The wooden dowels were used to secure the system to a commercial bike carrier. A Perspex screen was attached to the bottom surface of the chamber to prevent the camera from falling during the operation. The camera has a clear and unobstructed view downwards due to the transparency of the Perspex screen. This structure was then suspended from a commercially available bicycle carrier and installed on the towbar of a car which enabled filming while driving along the target road.
Please refer to the published journal paper in Construction Building Materials for more information about this dataset and applications. This dataset can be used to train deep learning algorithms and develop algorithms to calculate the crack widths of asphalt pavements.

本数据集包含2000张分辨率为1440×1440的沥青路面有裂纹与无裂纹图像，另有8000余张分辨率360×360以及3000余张分辨率720×720的同类型（有/无裂纹）图像。其中360×360与720×720分辨率的图像数据集，均通过拆分原始1440×1440数据集并选取其中含裂纹与不含裂纹的子图像生成。原始数据集采用统一标尺进行采集：通过保持相机安装高度一致，确保相机分辨率、工作距离及视场范围均相同，因此可对裂纹的宽度与长度进行比对。

为采集本数据集，本研究采用车载相机封装系统。首先搭建木质腔体以封装分辨率为1440×1440、帧率为30fps的高分辨率相机。该木质腔体由胶合板经胶合与螺钉固定组装而成，并辅以木梁与木销钉进行结构加固。木销钉用于将该系统固定于商用自行车载架上。腔体底部安装有亚克力（Perspex）屏，以防止相机在作业过程中坠落。由于亚克力屏具备透明特性，相机可获得清晰无遮挡的向下拍摄视野。随后将该结构悬挂于商用自行车载架，并安装于汽车拖车杆上，从而可在沿目标道路行驶时完成图像采集。

如需了解本数据集及应用场景的更多细节，请参阅发表于《Construction Building Materials》（《建筑与建材》）的期刊论文。本数据集可用于训练深度学习算法，以及开发用于计算沥青路面裂纹宽度的相关算法。

搜集汇总

背景与挑战

背景概述

该数据集包含超过13000张沥青路面裂缝和无裂缝图像，分为1440x1440、360x360和720x720三种分辨率，通过车辆安装相机系统在标准化条件下采集，确保图像可比性。它专为训练深度学习算法和开发裂缝宽度计算工具而设计，适用于道路维护和检测应用。