Asphalt Cracked and Uncracked Image Dataset
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https://data.mendeley.com/datasets/88kdyyc73h
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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的沥青路面裂缝与无裂缝图像,另有8000余张分辨率360×360的沥青路面裂缝/无裂缝图像,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,均通过对原始1440×1440数据集进行裁切,并筛选出含裂缝与无裂缝的子图像生成。
原始数据集的采集采用统一尺度:通过固定相机安装高度,确保相机分辨率、工作距离与视场均保持一致,因此不同样本间的裂缝宽度与长度具备可比较性。
为采集本数据集,我们采用了车载相机封装系统。该系统包含一个木质密封舱,用于搭载分辨率1440×1440、帧率30fps的高分辨率相机。该木质密封舱由胶合板通过胶合与螺钉拼接制成,并辅以木梁与木销进行加固。木销用于将整套系统固定于商用自行车载架上。密封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。随后将该装置挂载于商用自行车载架,并安装于汽车的拖车杆上,即可在沿目标道路行驶的过程中完成图像采集。
如需了解本数据集及其应用场景的更多细节,请参阅发表于《建筑与建筑材料(Construction and Building Materials)》期刊的相关论文。本数据集可用于训练深度学习算法,并开发用于计算沥青路面裂缝宽度的相关算法。
创建时间:
2023-08-08



