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Asphalt Cracked and Uncracked Image Dataset

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Mendeley Data2024-03-27 更新2024-06-27 收录
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https://data.mendeley.com/datasets/88kdyyc73h
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资源简介:
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的同类图像,以及3000余张分辨率720×720的同类图像。分辨率360×360与720×720的图像数据集,均通过将原始1440×1440数据集拆分并选取含裂纹与无裂纹的子图像构建而成。原始数据集采用统一比例尺构建,通过固定相机高度以保证相机分辨率、工作距离与视场范围均保持一致,因此可对裂纹的宽度与长度进行对比。为采集该数据集,我们采用了车载相机封装系统。该木质封装舱用于搭载1440×1440高分辨率相机,其帧率为30帧每秒(fps),由胶合板通过胶合与螺钉拼接制成,并辅以木梁与木销钉进行结构加固。木销钉用于将整套系统固定于商用自行车载架上。封装舱底部安装有有机玻璃(Perspex)屏,可防止相机在作业过程中坠落。得益于有机玻璃屏的透光性,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,并安装于汽车拖杆上,可在沿目标道路行驶时完成图像采集。如需了解该数据集及相关应用的更多细节,请参阅发表于《建筑与建筑材料(Construction and Building Materials)》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。
创建时间:
2024-01-23
搜集汇总
背景与挑战
背景概述
该数据集包含超过13000张沥青路面开裂和未开裂图像,涵盖三种分辨率(1440x1440、360x360和720x720),通过标准化车载相机系统采集,确保图像可比较性,适用于训练深度学习算法和开发裂缝宽度计算工具。
以上内容由遇见数据集搜集并总结生成
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