76 skills found · Page 1 of 3
ShuaiLYU / Deep Learning Approach For Surface Defect DetectionA Tensorflow implementation of "Segmentation-Based Deep-Learning Approach for Surface-Defect Detection"
abin24 / Surface Inspection Defect Detection DatasetThis project include several different surfaces, each surface contains one or several defects. For segmentation,object detection, saliency detection，etc
seanXYZ / SegDecNetPytorch Implement of the paper "Segmentation-Based Deep-Learning Approach for Surface Defect Detection"
skokec / Segdec Net Jim2019Surface Defect Detection with Segmentation-Decision Network on KolektorSDD
plutoyuxie / AutoEncoder SSIM For Unsupervised Anomaly Detection Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders
LeeWise9 / Segmentation Based Surface Defect DetectionThis is a deep learning application project in the industrial field, intended to detect defects on the workpiece surface. The code is based on keras and runs on GPU.
jianzhang96 / MSDmobile phone screen surface defect segmentation (detection) dataset.
Diyago / Severstal Steel Defect DetectionCan you detect and classify defects in steel? Segmentation in Pytorch
boschresearch / MultiADSAccompanying code for the ICCV2025 paper "MultiADS: Defect-aware Supervision for Multi-type Anomaly Detection and Segmentation in Zero-Shot Learning"
cheapthrillandwine / Improving Unsupervised Defect SegmentationThis is Keras code from "Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders".
bbbbby-99 / TGRNet Surface Defect SegmentationCode and dataset of Triplet- Graph Reasoning Network for Few-shot Metal Generic Surface Defect Segmentation
jianzhang96 / GoodsAD[IEEE RA-L 2024] PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly (Defect) Detection and Segmentation
jianzhang96 / Fdsnet[ICASSP 2022] FDSNet: An Accurate Real-Time Surface Defect Segmentation Network
wangerniuniu / FabricDefectDetectionAIFT2019-Real-time fabric defect segmentation based on convolutional neural network
Tony607 / Industrial Defect Inspection SegmentationAutomatic Defect Inspection with End-to-End Deep Learning
ShuaiLYU / Baseline Segment Resunet Pytorcha baseline for defect segmentation
ForrestPi / Unsupervised Defect SegmentationUnsupervised-Defect-Segmentation anomaly detection
Alex-ShiLei / IndustrialNetFew-shot segmentation for industrail defect detection
mengcius / Surface Defect DetectionSegmentation-Based Deep-Learning Approach for Surface-Defect Detection
shyamsuresh14 / Detection Of Defects In Fruits And VegetablesDetection of defects in fruits and vegetables using k means segmentation and Otsu thresholding in Matlab. Both external and internal defects are detected. For external defects, the surface of the fruits and vegetables in the image is processed. For internal defects, two approaches are followed. In the first one, the internal images of the fruits are processed for defects, whereas in the second one, the X-ray images of the images are taken and processed for defects.
