用于裂缝分类
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Concrete Crack Images for Classification
像素值：227×227
数量：40000张（20000negative+20000postive）
引用该数据集的论文：
“Automatic crack distress classification from concrete surface images using a novel deep-width network architecture”
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crack-detection
像素值：224×224
数量：6077张（ 4856 training pictures and 1213 test pictures）
引用该数据集的论文：
“Automated Bridge Crack Detection Using Convolutional Neural Networks”
Paper link:https://www.mdpi.com/2076-3417/9/14/2867
[1]Xu H, Su X, Wang Y, et al. Automatic Bridge Crack Detection Using a Convolutional Neural Network[J]. Applied Sciences, 2019, 9(14): 2867.
[2]Li Liang-Fu, Ma Wei-Fei, Li Li, Lu Cheng. Research on detection algorithm for bridge cracks based on deep learning. Acta Automatica Sinica, 2018
- crackdataset-voc
VoC格式数据集
数量：3000左右
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ConcreteDataset
SDNET2018
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Historical Building Cracks
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multi_classifier_data
数据集下载链接请私信或留言
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