裂缝检测专题（3）裂缝数据集dataset总结1-分类

裂缝检测技术-基于图像处理

用于裂缝分类

1. Concrete Crack Images for Classification 像素值：227x227 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”
2. crack-detection 像素值：224x224 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

1. crackdataset-voc VoC格式数据集 数量：3000左右

1. ConcreteDataset SDNET2018
2. Historical Building Cracks
3. multi_classifier_data

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