Topic: defect-detection Goto Github

👇 Here are 83 public repositories matching this topic...

albertchristianto / defect_detection
defect-detection,Magnetic tile surface defect detection, NHA12D road/pavement crack detection
User: albertchristianto
deep-learning defect-detection image-classification

andreluizbvs / insplad
defect-detection,Inspection of Power Line Assets Dataset (InsPLAD)
User: andreluizbvs
Home Page: https://andreluizbvs.github.io/InsPLAD/
ai anomaly-detection dataset deep-learning image-classification insulator insulator-dataset machine-learning object-detection powerline

aviralchharia / surface-defect-detection-in-hot-rolled-steel-strips
defect-detection,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.
User: aviralchharia
artificial-intelligence classification cnn convolutional-neural-network deep-learning defect-detection detection manufacturing mechanical-engineering neural-networks

awslabs / sagemaker-defect-detection
defect-detection,Detect Defects in Products from their Images using Amazon SageMaker
Organization: awslabs
Home Page: https://awslabs.github.io/sagemaker-defect-detection/
deep-learning computer-vision sagemaker sagemaker-pytorch sagemaker-deployment defect-detection quality-control

bleakie / retinadetector
defect-detection,基于RetinaFace的目标检测方法，适用于人脸、缺陷、小目标、行人等
User: bleakie
defect-detection face-detection face-alignment

caixiongjiang / fastsegformer
defect-detection,[Computers and Electronics in Agriculture 2024] FastSegFormer: A knowledge distillation-based method for real-time semantic segmentation of surface defects in navel oranges.
User: caixiongjiang
deep-learning defect-detection fastsegformer imagenet navel-orange pytorch semantic-segmentation

chairc / integrated-design-diffusion-model
defect-detection,IDDM (Industrial, landscape, animate...), support DDPM, DDIM, PLMS, webui and multi-GPU distributed training. Pytorch实现，生成模型，扩散模型，分布式训练
User: chairc
ddpm defect-detection diffusion-models industrial ddim distributed-computing distributed-training pytorch unet aigc

chairc / nrsd-mn-relabel
defect-detection,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".
User: chairc
amff-yolox datasets defect-detection nrsd object-detection surface-detection

dengpingfan / sinet
defect-detection,Camouflaged Object Detection, CVPR 2020 (Oral)
User: dengpingfan
Home Page: http://dpfan.net/Camouflage
detection segmentation camouflage defect-detection surface-defect-detection transparent salient-object-detection attention-model transparent-object-detection

devilenmo / unsupervised-defect-detection-project-based-on-vae-gan-architecture
defect-detection,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.
User: devilenmo
defect-detection pytorch unsupervised vae-gan ai chinese english

died / defectdetectiondemo
defect-detection,Textile defect detection using OpenCVSharp
User: died
opencv opencvsharp csharp defect-detection textile

djene-mengistu / simeps
defect-detection,This repo contains implementation of semi-supervised defect segmentation based on pairwise similarity map consistency and ensemble-based cross pseudo labels
User: djene-mengistu
consistency-regularization deep-learning defect-detection defect-segmentation industrial-automation machine-vision pairwise-similarity pseudo-labeling pytorch robotic-perception semi-supervised-learning

djene-mengistu / uaps
defect-detection,This repo contains implementation of uncertainty estimation, rectification, and minimization for guiding the pseudo-label learning in semi-supervised defect segmentation setting.
User: djene-mengistu
consistency-regularization defect-detection defect-segmentation machine-learning machine-vision pseudo-labeling semi-supervised-learning uncertainty-analysis uncertainty-estimation

eshe0922 / reposvul
defect-detection,[ICSE 2024 Industry Challenge Track] Official implementation of "ReposVul: A Repository-Level High-Quality Vulnerability Dataset".
User: eshe0922
Home Page: https://conf.researchr.org/details/icse-2024/icse-2024-industry-challenge-track/2/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

fangvv / rtfd-dataset
defect-detection,Images to Classify Defective and Non-Defective Railway Track
User: fangvv
federated-learning image-dataset railway-track deep-learning deep-neural-networks defect-detection dnn machine-learning rails railway

gewelsji / sinet-v2
defect-detection,Concealed Object Detection (SINet-V2, IEEE TPAMI 2022). Code is implemented by PyTorch/Jittor frameworks.
User: gewelsji
camoufalge conceal camouflaged-object-detection deep-learning pytorch defect-detection jittor

howeng98 / anomaly_inspection_datasets
defect-detection,A references and discriptions for anomaly, inspection, defect detection datasets.
User: howeng98
inspection anomaly-detection datasets defect-detection manufacturing abnormal-detection defects out-of-distribution-detection

jerrinbright / gcode-point-cloud-extractor
defect-detection,Extracting the G-code cloud points and saving them in CSV. Simultaneously background of the images are removed and compared with the G-code point clouds, thus detecting errors in the 3D printed component.
User: jerrinbright
g-code 3d-printing defect-detection segmentation hsv-color-detection

kapil-verma / machine_part_defect-detection
defect-detection,Classification of automotive parts as defective and non-defective with transfer learning.
User: kapil-verma
defect-detection classification defective-automotive-parts opencv image-processing scikit-image keras cnn inception-v3 mobilenet

laurentveyssier / detect-and-localize-manufacturing-defects-from-images
defect-detection,Use ResNet50 deep learning model to predict defects in steel and visually localize the defect using Res-UNET model class
User: laurentveyssier
tensorflow resnet-50 resunet quality-control defect-detection segmentation-masks rle-compression-algorithm computer-vision

leonjinc / defect_detect
defect-detection,A defect detect method based on Kalman filter
User: leonjinc
defect-detection kalman-tracking

m-3lab / awesome-industrial-anomaly-detection
defect-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)。
Organization: m-3lab
anomaly-detection anomaly-segmentation deep-learning defect-detection industrial-image computer-vision dataset

ma0ho / pvinspect
defect-detection,Collection of methods for the analysis of solar modules
User: ma0ho
Home Page: https://lme.tf.fau.de/research/research-groups/other-projects/analysis-of-defects-on-solar-power-cells/
python-distribution photovoltaics defect-detection segmentation

marooncn / defect-detection-classifier
defect-detection,Visual Defect Detection on Boiler Water Wall Tube Using Small Dataset
User: marooncn
deep-learning defect-detection svm

msaaad / fabricdefectdetection
defect-detection,
User: msaaad
tensorflow tensorflow2 object-detection defect-detection realtime fabric-defect

mtntruong / entropy-otsu
defect-detection,MATLAB code and data for "Automatic image thresholding using Otsu’s method and entropy weighting scheme for surface defect detection"
User: mtntruong
dataset defect-detection thresholding-algorithm

nandan7198 / fabric-stain-detection
defect-detection,Fabric Stain Detection System based on YOLO algorithm
User: nandan7198
fabric-defect python yolo yolov3 defect-detection fabric-stain computer-vision

nerohin / defect-detection-and-segment-deep-learning
defect-detection,Detection and Segmentation in Powder Spreading Process of Magnetic Material Additive Manufacturing
User: nerohin
deep-learning defect-detection defects object-detection segmentation u-net yolov7 defect-segmentation

ntkhoa95 / memseg-defect-detection
defect-detection,An unoffical implementation of "MemSeg: A semi-supervised method for image surface defect detection using differences and commonalities"
User: ntkhoa95
anomaly-detection deeplearning defect-detection memory-based segmentation pytorch semi-supervised-learning

omerferhatt / defect-detection
defect-detection,Defect Detection and Elliptical Object Localization with DenseNet-169 on subset of DAGM 2007 Defect Dataset
User: omerferhatt
densenet tensorflow defect-detection object-localization dagm2007

orc-tuni / dark-spot-mapper
defect-detection,Imaging system for analyzing defects of semiconductor wafers and chips
Organization: orc-tuni
imaging semiconductors lasers semiconductor-physics semiconductor-devices photoluminescence defects defect-density defect-detection

panithans / defect-prediction-in-semiconductor-lithography
defect-detection,Lithography defect prediction for microchip manufacturing optimization with machine learning model
User: panithans
data-analysis lithography machine-learning semiconductor-manufacturing yeild yeild-opimization defect-detection

panithans / wafers-defect-recognition-using-visual-transformer
defect-detection,We use MixedWM38, the mixed-type wafer defect pattern dataset for wafer defect pattern regcognition with visual transformers.
User: panithans
computer-vision data-analysis defect-classification defect-detection lithography machine-learning multilabel-classification pattern-recognition semiconductor-manufacturing visual-transformer

pasaopasen / search-for-defects-in-plates
defect-detection,Application for searching for defects in plates (Ellipse method and Time-reversal)
User: pasaopasen
time-reversal plates defect-detection signal waves defects csharp-app russian

rahulthazhathepurakkal / fabric-defect-detection-using-opencv-and-streamlit
defect-detection,
User: rahulthazhathepurakkal
contour-detection defect-detection opencv python streamlit

remmarp / padim-tf
defect-detection,[TF 2.x] PaDiM - unofficial tensorflow implementation of the paper 'a Patch Distribution Modeling Framework for Anomaly Detection and Localization'.
User: remmarp
anomaly anomaly-detection defect-detection anomaly-localization

ruoningyu / polarization-defect-detection
defect-detection,Defect detection by polarization
User: ruoningyu
computer-vision defect-detection genicam

sap-samples / btp-ai-sustainability-bootcamp
defect-detection,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.
Organization: sap-samples
Home Page: https://blogs.sap.com/2022/05/19/building-intelligent-scenarios-and-sustainability-on-sap-btp/
sample sample-code sap-ai-core sap-ai-launchpad sap-analytics-cloud sac-planning deep-learning condition-monitoring computer-vision sustainability

shaggyshak / cs543_project_image-based-localization-of-bridge-defects-with-ar-visualization
defect-detection,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.
User: shaggyshak
3d-reconstruction sfm computer-vision cnn detection crack-detection fitting bridge defect-detection

shellysheynin / a-hierarchical-transformation-discriminating-generative-model-for-few-shot-anomaly-detection
defect-detection,Official pytorch implementation of the paper: "A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection"
User: shellysheynin
gan anomaly-detection few-shot official defect-detection self supervised-learning pytorch transformation localization

siddhartamukherjee / neu-det-steel-surface-defect-detection
defect-detection,This project is about detecting defects on steel surface using Unet. The dataset used for this project is the NEU-DET database.
User: siddhartamukherjee
neu-det defect-detection defect-prediction segmentation-models unet-image-segmentation unet-pytorch resnet resnet-18 pytorch deep-learning

tayebiarasteh / pv_defect_detection
defect-detection,Multi-label defect detection for Solar Cells from Electroluminescence images of the modules, using Deep Learning
User: tayebiarasteh
resnet resnet-18 resnet-34 image-classification supervised-learning solar-cells defect-detection pytorch deep-learning deep-neural-networks

theayushb / manufacturing-defects
defect-detection,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.
User: theayushb
artificial-intelligence cnn deep-learning defect classification data data-analytics defect-detection detection manufacturing

tsjianjiao / defect-detection-with-tensorflow
defect-detection,👷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
User: tsjianjiao
tensorflow defect-detection neural-network

vicoslab / mixed-segdec-net-comind2021
defect-detection,Official PyTorch implementation for "Mixed supervision for surface-defect detection: from weakly to fully supervised learning"
Organization: vicoslab
deep-neural-networks defect-detection

vicoslab / segdec-net-plusplus-conbuildmat2023
defect-detection,SegDecNet++: an official PyTorch implementation for "Automated detection and segmentation of cracks in concrete surfaces using joined segmentation and classification deep neural network" paper
Organization: vicoslab
deep-learning defect-detection segmentation

wanghongshuo / tft-lcd_defects_detecter-qt-opencv
defect-detection,TFT-LCD defects detecter based on the improved saliency model
User: wanghongshuo
tft-lcd qt opencv defect-detection saliency-detection

wisteken / dagm2007
defect-detection,
User: wisteken
dagm2007 defect-detection autoencoder

wyniemko / automated-maintenance-inspection-for-amazon-conveyor-belts
defect-detection,Automate the inspection of conveyor belts by detecting tracking variances and surface defects (tears and stains).
User: wyniemko
defect-detection edge-detection image-processing jetson-nano opencv opencv-python python video

yudarw / scracth-detection-for-automated-optical-inpection
defect-detection,An AOI system to detect the scratch defects on a metal object surfaces by using image processing technique.
User: yudarw
defect-detection image-processing image-processing-opencv