defect-detection
There are 106 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)。
DengPingFan/SINet
Camouflaged Object Detection, CVPR 2020 (Oral)
vicoslab/mixed-segdec-net-comind2021
Official PyTorch implementation for "Mixed supervision for surface-defect detection: from weakly to fully supervised learning"
GewelsJI/SINet-V2
Concealed Object Detection (SINet-V2, IEEE TPAMI 2022). Code is implemented by PyTorch/Jittor frameworks.
marooncn/Defect-Detection-Classifier
Visual Defect Detection on Boiler Water Wall Tube Using Small Dataset
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
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
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.
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.
andreluizbvs/InsPLAD
Inspection of Power Line Assets Dataset (InsPLAD)
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"
Eshe0922/ReposVul
[ICSE 2024 Industry Challenge Track] Official implementation of "ReposVul: A Repository-Level High-Quality Vulnerability Dataset".
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.
awslabs/sagemaker-defect-detection
Detect Defects in Products from their Images using Amazon SageMaker
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.
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.
blaz-r/SuperSimpleNet
[ICPR 2024] Official implementation of SuperSimpleNet: Unifying Unsupervised and Supervised Learning for Fast and Reliable Surface Defect Detection
died/DefectDetectionDemo
Textile defect detection using OpenCVSharp
jqtangust/IUF
[ECCV 2024] Official Implementation of An Incremental Unified Framework for Small Defect Inspection
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].
WangHongshuo/TFT-LCD_defects_detecter-Qt-opencv
TFT-LCD defects detecter based on the improved saliency model
mtntruong/entropy-otsu
MATLAB code and data for "Automatic image thresholding using Otsu’s method and entropy weighting scheme for surface defect detection"
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.
orc-tuni/dark-spot-mapper
Imaging system for analyzing defects of semiconductor wafers and chips
PanithanS/Defect-Prediction-in-Semiconductor-Lithography
Lithography defect prediction for microchip manufacturing optimization with machine learning model
chairc/AMFF-YOLOX
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".
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.
nandan7198/Fabric-Stain-Detection
Fabric Stain Detection System based on YOLO algorithm
remmarp/PaDiM-TF
[TF 2.x] PaDiM - unofficial tensorflow implementation of the paper 'a Patch Distribution Modeling Framework for Anomaly Detection and Localization'.
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
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.
fangvv/RTFD-Dataset
Images to Classify Defective and Non-Defective Railway Track
kapil-verma/Machine_part_defect-detection
Classification of automotive parts as defective and non-defective with transfer learning.
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
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.