裂缝检测专题（3）裂缝数据集dataset总结1-分类

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

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

5. ConcreteDataset
   SDNET2018
   

6. Historical Building Cracks
   

7. multi_classifier_data
   

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