defect-detection 开源项目推荐（564 个）

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.

blaz-r /SuperSimpleNet

Official implementation of SuperSimpleNet [ICPR 2024, JIMS 2025]

andreluizbvs /InsPLAD

电力线资产数据集检查（InsPLAD）

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.

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

Eshe0922 /ReposVul

[ICSE'24 Industry Challenge Track] "ReposVul: A Repository-Level High-Quality Vulnerability Dataset".

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

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.

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.

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

sharp-007 /carbon_fiber_defect_detection_system_python3.10

工业缺陷检测系统

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"

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.

SAP-archive /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.

jqtangust /IUF

[ECCV 2024] Official Implementation of An Incremental Unified Framework for Small Defect Inspection