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Bridge_Crack_Image

Research on Detection Algorithm for Bridge Cracks Based on Deep Learning

Description

  • The dataset is mainly used to train the DBCC model and detect the bridge cracks.

Paper Link:

  • LI Liang-Fu, MA Wei-Fei, LI Li, LU Cheng. Research on Detection Algorithm for Bridge Cracks Based on Deep Learning. Acta Automatica Sinica, 2019, 45(9): 1727-1742.
  • 李良福, 马卫飞, 李丽, 陆铖. 基于深度学习的桥梁裂缝检测算法研究. 自动化学报, 2019, 45(9): 1727-1742

Source of the data:

       The data comes mainly from viaduct in Xi'an, Shaanxi Province.

Type of data:

  • Our team has published two kinds of data sets,as follows:
    • [1]Bridge_Crack_Image_Data, the data set is mainly used to train the DBCC model;
    • [2]Original_Crack_DataSet_1024_1024,the data set is used to test the DBCC model and contains 2068 bridge crack image with a resolution of 1024 * 1042 and it is available online:http://pan.baidu.com/s/1bplPrPl
  • The data set is primarily used to study the detection and extraction algorithms of bridge cracks and is not allowed for commercial purposes; If you want to use this dataset, please cite this paper

Author:

       Liangfu Li Weifei Ma  Li Li Xiaoxiao Gao

Location:

       Shaanxi Normal University

Time:

       2017.1.1

Contact:

       934089770@qq.com