defect-detection

There are 39 repositories under defect-detection topic.

M-3LAB / awesome-industrial-anomaly-detection
Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。
anomaly-detection anomaly-segmentation deep-learning defect-detection industrial-image computer-vision dataset
1468
DengPingFan / SINet
Camouflaged Object Detection, CVPR 2020 (Oral)
attention-model camouflage defect-detection detection salient-object-detection segmentation surface-defect-detection transparent transparent-object-detection
Language:Python 519
vicoslab / mixed-segdec-net-comind2021
Official PyTorch implementation for "Mixed supervision for surface-defect detection: from weakly to fully supervised learning"
deep-neural-networks defect-detection
Language:Python 290
GewelsJI / SINet-V2
Concealed Object Detection (SINet-V2, IEEE TPAMI 2022). Code is implemented by PyTorch/Jittor frameworks.
camoufalge camouflaged-object-detection conceal deep-learning defect-detection jittor pytorch
Language:Python 230
marooncn / Defect-Detection-Classifier
Visual Defect Detection on Boiler Water Wall Tube Using Small Dataset
svm defect-detection deep-learning
Language:Python 121
TSjianjiao / Defect-Detection-with-tensorflow
👷胶囊表面缺陷检测withTensorflow，主要检测了凹陷和缺失部分，涉及到GPU加速
tensorflow defect-detection neural-network
Language:Python 112
bleakie / RetinaDetector
基于RetinaFace的目标检测方法，适用于人脸、缺陷、小目标、行人等
defect-detection face-detection face-alignment
Language:Python 101
NEU-DET-Steel-Surface-Defect-Detection
siddhartamukherjee / NEU-DET-Steel-Surface-Defect-Detection
This project is about detecting defects on steel surface using Unet. The dataset used for this project is the NEU-DET database.
neu-det defect-detection defect-prediction segmentation-models unet-image-segmentation unet-pytorch resnet resnet-18 pytorch deep-learning deep-neural-networks
Language:Jupyter Notebook 87
Yuki-11 / CSSR
Crack Segmentation for Low-Resolution Images using Joint Learning with Super-Resolution (CSSR) was accepted to international conference on MVA2021 (oral), and selected for the Best Practical Paper Award.
crack-detection crack-segmentation deep-learning defect-detection joint-learning machine-learning mva python3 pytorch semantic-segmentation super-resolution
Language:Python 78
andreluizbvs / InsPLAD
Inspection of Power Line Assets Dataset (InsPLAD)
ai anomaly-detection dataset deep-learning image-classification insulator insulator-dataset machine-learning object-detection powerline uav uav-images defect-detection inspection stockbridge fault-detection computer-vision power-line transmission-line drone
61
shellysheynin / A-Hierarchical-Transformation-Discriminating-Generative-Model-for-Few-Shot-Anomaly-Detection
Official pytorch implementation of the paper: "A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection"
gan anomaly-detection few-shot official defect-detection self supervised-learning pytorch transformation localization
Language:Python 57
awslabs / sagemaker-defect-detection
Detect Defects in Products from their Images using Amazon SageMaker
deep-learning computer-vision sagemaker sagemaker-pytorch sagemaker-deployment defect-detection quality-control
Language:Python 50
aviralchharia / Surface-Defect-Detection-in-Hot-Rolled-Steel-Strips
This project aims to automatically detect surface defects in Hot-Rolled Steel Strips such as rolled-in scale, patches, crazing, pitted surface, inclusion and scratches. A CNN is trained on the NEU Metal Surface Defects Database which contains 1800 grayscale images with 300 samples of each of the six different kinds of surface defects.
cnn defect-detection mechanical-engineering manufacturing neural-networks deep-learning convolutional-neural-network artificial-intelligence detection classification
Language:Jupyter Notebook 46
btp-ai-sustainability-bootcamp
SAP-samples / btp-ai-sustainability-bootcamp
This github repository contains the sample code and exercises of btp-ai-sustainability-bootcamp, which showcases how to build Intelligence and Sustainability into Your Solutions on SAP Business Technology Platform with SAP AI Core and SAP Analytics Cloud for Planning.
sample sample-code sap-ai-core sap-ai-launchpad sap-analytics-cloud sac-planning deep-learning condition-monitoring computer-vision sustainability defect-detection image-segmentation predictive-maintenance sound-classification machine-learning
Language:Jupyter Notebook 46
died / DefectDetectionDemo
Textile defect detection using OpenCVSharp
opencv opencvsharp csharp defect-detection textile
Language:C# 39
Eshe0922 / ReposVul
[ICSE 2024 Industry Challenge Track] Official implementation of "ReposVul: A Repository-Level High-Quality Vulnerability Dataset".
automated-framework defect-detection software-engineering vulnerability-dataset high-quality inter-procedural-vulnerabilities outdated-patches tangled-patches
Language:Python 37
WangHongshuo / TFT-LCD_defects_detecter-Qt-opencv
TFT-LCD defects detecter based on the improved saliency model
tft-lcd qt opencv defect-detection saliency-detection
Language:C++ 31
Yuki-11 / CSBSR
Official PyTorch implementation of the paper "Joint Learning of Blind Super-Resolution and Crack Segmentation for Realistic Degraded Images", IEEE Transactions on Instrumentation and Measurement (TIM) 2024. CSBSR is an advanced version of our previous work CSSR [MVA'21].
blind-super-resolution computer-vision crack-segmentation csbsr cssr deep-learning defect-detection ieee instrumentation joint-learning measurement peer-reviewed segmentation super-resolution
Language:Python 30
mtntruong / entropy-otsu
MATLAB code and data for "Automatic image thresholding using Otsu’s method and entropy weighting scheme for surface defect detection"
dataset defect-detection thresholding-algorithm
Language:MATLAB 27
DEVILENMO / Unsupervised-Defect-Detection-Project-Based-on-VAE-GAN-Architecture
本项目实现了一种基于 VAE-CycleGAN 的图像重建无监督缺陷检测算法。该算法结合了变分自编码器 (VAE) 和 CycleGAN 的优势，无需标注数据即可检测图像中的缺陷/异常。This project implements an unsupervised defect detection algorithm for image reconstruction based on VAE-CycleGAN. This algorithm combines the advantages of variational autoencoders (VAE) and CycleGAN to detect defects in images without any supervision.
defect-detection pytorch unsupervised vae-gan ai chinese english
Language:Python 25
orc-tuni / dark-spot-mapper
Imaging system for analyzing defects of semiconductor wafers and chips
imaging semiconductors lasers semiconductor-physics semiconductor-devices photoluminescence defects defect-density defect-detection
Language:Python 22
jqtangust / IUF
[ECCV 2024] Official Implementation of An Incremental Unified Framework for Small Defect Inspection
anomaly anomaly-detection continual-learning defect-detection incremental-learning industrial-detection industrial-vision small-defect
Language:Python 21
Shaggyshak / CS543_project_Image-based-Localization-of-Bridge-Defects-with-AR-Visualization
Visual inspection of bridges is customarily used to identify and evaluate faults. However, current procedures followed by human inspectors demand long inspection times to examine large and difficult to access bridges. To address these limitations, we investigate a computer vision‐based approach that employs SIFT keypoint matching on collected images of defects against a pre-existing reconstructed 3D point cloud of the bridge. We also investigate methods of reducing computation time with ML-based and conventional CV methods of segmentation to eliminate redundant keypoints. Our project successfully localizes the defect images and achieves a savings in runtime from filtering keypoints.
3d-reconstruction sfm computer-vision cnn detection crack-detection fitting bridge defect-detection
Language:Jupyter Notebook 21
blaz-r / SuperSimpleNet
[ICPR 2024] Official implementation of SuperSimpleNet: Unifying Unsupervised and Supervised Learning for Fast and Reliable Surface Defect Detection
anomaly-detection deep-learning icpr2024 pytorch defect-detection
Language:Python 20
chairc / NRSD-MN-relabel
The re-labeled NRSD-MN dataset, AMFF-YOLOX source code and paper "AMFF-YOLOX: Towards an Attention Mechanism and Multiple Feature Fusion Based on YOLOX for Industrial Defect Detection".
amff-yolox nrsd datasets defect-detection object-detection surface-detection
Language:Python 19
Wafers-Defect-Recognition-using-Visual-Transformer
PanithanS / Wafers-Defect-Recognition-using-Visual-Transformer
We use MixedWM38, the mixed-type wafer defect pattern dataset for wafer defect pattern regcognition with visual transformers.
computer-vision data-analysis defect-classification defect-detection lithography machine-learning multilabel-classification pattern-recognition semiconductor-manufacturing visual-transformer wafer-defects wafermap yeild yeild-opimization mixed-type-data-classification mixedwm38
Language:Jupyter Notebook 17
remmarp / PaDiM-TF
[TF 2.x] PaDiM - unofficial tensorflow implementation of the paper 'a Patch Distribution Modeling Framework for Anomaly Detection and Localization'.
anomaly anomaly-detection anomaly-localization defect-detection
Language:Python 16
LaurentVeyssier / Detect-and-localize-manufacturing-defects-from-images
Use ResNet50 deep learning model to predict defects in steel and visually localize the defect using Res-UNET model class
tensorflow resnet-50 resunet quality-control defect-detection segmentation-masks rle-compression-algorithm computer-vision
Language:Jupyter Notebook 14
Fabric-Stain-Detection
nandan7198 / Fabric-Stain-Detection
Fabric Stain Detection System based on YOLO algorithm
fabric-defect python yolo yolov3 defect-detection fabric-stain computer-vision
Language:Python 14
Defect-Prediction-in-Semiconductor-Lithography
PanithanS / Defect-Prediction-in-Semiconductor-Lithography
Lithography defect prediction for microchip manufacturing optimization with machine learning model
data-analysis lithography machine-learning semiconductor-manufacturing yeild yeild-opimization defect-detection
Language:Jupyter Notebook 14
caixiongjiang / FastSegFormer
[ISSN 0168-1699, COMPUT ELECTRON AGR 2024] FastSegFormer: A knowledge distillation-based method for real-time semantic segmentation of surface defects in navel oranges.
imagenet fastsegformer defect-detection semantic-segmentation deep-learning pytorch navel-orange
Language:Python 13
kapil-verma / Machine_part_defect-detection
Classification of automotive parts as defective and non-defective with transfer learning.
defect-detection classification defective-automotive-parts opencv image-processing scikit-image keras cnn inception-v3 mobilenet transfer-learning
Language:Jupyter Notebook 13
ma0ho / pvinspect
Collection of methods for the analysis of solar modules
python-distribution photovoltaics defect-detection segmentation
Language:Python 12
djene-mengistu / UAPS
This repo contains implementation of uncertainty estimation, rectification, and minimization for guiding the pseudo-label learning in semi-supervised defect segmentation setting.
consistency-regularization defect-detection defect-segmentation machine-learning machine-vision pseudo-labeling semi-supervised-learning uncertainty-analysis uncertainty-estimation
Language:Python 11
vicoslab / segdec-net-plusplus-conbuildmat2023
SegDecNet++: an official PyTorch implementation for "Automated detection and segmentation of cracks in concrete surfaces using joined segmentation and classification deep neural network" paper
deep-learning defect-detection segmentation
Language:Python 11
rahulthazhathepurakkal / Fabric-Defect-Detection-using-OpenCV-and-Streamlit
contour-detection defect-detection opencv python streamlit
Language:Python 9

defect-detection

M-3LAB / awesome-industrial-anomaly-detection

DengPingFan / SINet

vicoslab / mixed-segdec-net-comind2021

GewelsJI / SINet-V2

marooncn / Defect-Detection-Classifier

TSjianjiao / Defect-Detection-with-tensorflow

bleakie / RetinaDetector

siddhartamukherjee / NEU-DET-Steel-Surface-Defect-Detection

Yuki-11 / CSSR

andreluizbvs / InsPLAD

shellysheynin / A-Hierarchical-Transformation-Discriminating-Generative-Model-for-Few-Shot-Anomaly-Detection

awslabs / sagemaker-defect-detection

aviralchharia / Surface-Defect-Detection-in-Hot-Rolled-Steel-Strips

SAP-samples / btp-ai-sustainability-bootcamp

died / DefectDetectionDemo

Eshe0922 / ReposVul

WangHongshuo / TFT-LCD_defects_detecter-Qt-opencv

Yuki-11 / CSBSR

mtntruong / entropy-otsu

DEVILENMO / Unsupervised-Defect-Detection-Project-Based-on-VAE-GAN-Architecture

orc-tuni / dark-spot-mapper

jqtangust / IUF

Shaggyshak / CS543_project_Image-based-Localization-of-Bridge-Defects-with-AR-Visualization

blaz-r / SuperSimpleNet

chairc / NRSD-MN-relabel

PanithanS / Wafers-Defect-Recognition-using-Visual-Transformer

remmarp / PaDiM-TF

LaurentVeyssier / Detect-and-localize-manufacturing-defects-from-images

nandan7198 / Fabric-Stain-Detection

PanithanS / Defect-Prediction-in-Semiconductor-Lithography

caixiongjiang / FastSegFormer

kapil-verma / Machine_part_defect-detection

ma0ho / pvinspect

djene-mengistu / UAPS

vicoslab / segdec-net-plusplus-conbuildmat2023

rahulthazhathepurakkal / Fabric-Defect-Detection-using-OpenCV-and-Streamlit