缺陷检测算法汇总(传统+深度学习方式)|综述、源码

目标检测与深度学习

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2021-05-08 13:08

转载自 | 3D视觉工坊

作者 | Tom Hardy

链接 | https://zhuanlan.zhihu.com/p/362330594

编者荐语

文章是对缺陷算法的综述、源码等资源的汇总


文献资料汇总:

https://github.com/Eatzhy/surface-defect-detection

综述:机器视觉表面缺陷检测综述

缺陷检测工具箱:

https://github.com/abin24/Saliency-detection-toolbox


基于深度学习方式


1、语义分割方式

https://github.com/Wslsdx/Deep-Learning-Approach-for-Surface-Defect-Detection

https://github.com/LeeWise9/Segmentation-Based-Surface-Defect-Detection

https://github.com/CristinaMa0917/Defects_Detection_MaskRCNN

2、目标检测方式

https://github.com/YeahHuang/Al_surface_defect_detection

3、基于GAN

https://github.com/hukefei/GAN-defect

4、不同行业应用

1)PCB

https://github.com/Ixiaohuihuihui/Tiny-Defect-Detection-for-PCB

https://github.com/chinthysl/AXI_PCB_defect_detection

https://github.com/gustavo95/pcb-defect-detection

2)钢材缺陷检测

https://github.com/khornlund/severstal-steel-defect-detection

https://github.com/Diyago/Severstal-Steel-Defect-Detection

https://github.com/toandaominh1997/Steel-Defect-Detection

https://github.com/rook0falcon/steel-defect-detection

3)胶囊缺陷检测

https://github.com/TSjianjiao/Defect-Detection-with-tensorflow

4)电池缺陷检测

https://github.com/cdeldon/thermography

https://github.com/evip/ButtonDefectDetection

5)织物缺陷检测

https://github.com/weningerleon/TextileDefectDetection

https://github.com/freedom-kevin/defect_detection

https://github.com/Johncheng1/Fabric-defect-detection

https://github.com/luissen/SSDT-A-single-shot-detector-for-PCB--defects

https://github.com/wangerniuniu/FabricDefectDetection

https://github.com/mynameiswangshiyi/AE-BP-fabric-defect-detection

6)水果和蔬菜缺陷检测

https://github.com/shyamsuresh14/Detection-of-defects-in-fruits-and-vegetables


其它


https://github.com/skokec/segdec-net-jim2019

https://github.com/zwb204/Industrial_defect_detection

https://github.com/wuziheng/SiliconWaferDefectDetection

https://github.com/qiucongying/Mcue

https://github.com/yjphhw/SACNN


缺陷检测数据集


https://github.com/abin24/Surface-Inspection-defect-detection-dataset

https://github.com/Eatzhy/Surface-defect-Detection-dataset

✄------------------------------------------------


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