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# Research on Detection Algorithm for Bridge Cracks Based on Deep Learning
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# Description
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## Description
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- The dataset is mainly used to train the DBCC model and detect the bridge cracks.
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# Paper Link:
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## Paper Link:
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- 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.
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- 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
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# Source of the data:
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## Source of the data:
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The data comes mainly from viaduct in Xi'an, Shaanxi Province.
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# Type of data:
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## Type of data:
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- Our team has published two kinds of data sets,as follows:
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- [1]Bridge_Crack_Image_Data, the data set is mainly used to train the DBCC model;
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- [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
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available online:http://pan.baidu.com/s/1bplPrPl
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- The data set is primarily used to study the detection and extraction algorithms of bridge cracks and is not allowed for commercial purposes;
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If you want to use this dataset, please cite this paper
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# Author:
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## Author:
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Liangfu Li Weifei Ma Li Li Xiaoxiao Gao
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# Location:
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## Location:
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Shaanxi Normal University
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# Time:
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## Time:
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2017.1.1
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# Contact:
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## Contact:
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