huangyebiaoke / steel-pipe-weld-defect-detectionLinks
Deep Learning Based Steel Pipe Weld Defect Detection
☆100Updated 4 years ago
Alternatives and similar repositories for steel-pipe-weld-defect-detection
Users that are interested in steel-pipe-weld-defect-detection are comparing it to the libraries listed below
Sorting:
- Official PyTorch implementation for "Mixed supervision for surface-defect detection: from weakly to fully supervised learning"☆316Updated 3 years ago
- This project is about detecting defects on steel surface using Unet. The dataset used for this project is the NEU-DET database.☆125Updated 4 years ago
- LF-YOLO (Lighter and Faster YOLO) is used to detect defect of X-ray weld image.☆66Updated last year
- defect detection algorithm☆144Updated 2 years ago
- 本项目用深度学习的方法进行工业产品缺陷检测，替代原本人眼的产品质检。从而大幅提升工业产品合格率和降低人力成本。☆159Updated 5 years ago
- This is the GC10-DET datasets of the upcoming paper " Deep Metallic Surface Defect Detection: the New Benchmark and Detection Network" Th…☆69Updated 3 years ago
- dataset of the upcoming paper "Saliency of magnetic tile surface defects"☆205Updated 5 years ago
- mobile phone screen surface defect segmentation (detection) dataset.☆63Updated last year
- This is a repository about PCB defect detection.☆492Updated 2 years ago
- This is a Saliency detection toolbox Specially designed for surface defect detection.☆185Updated 3 years ago
- Dataset for classification, detection and prognostics of surface defects on ball screw drives☆75Updated 3 months ago
- ☆48Updated 3 years ago
- Unofficial re-implementation of MemSeg for Anomaly Detection☆203Updated last year
- 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 defe…☆73Updated 3 months ago
- Official implementation of SuperSimpleNet [ICPR 2024, JIMS 2025]☆120Updated last month
- 这是一个yolact-pytorch的库，可用于训练自己的数据集☆81Updated 2 years ago
- ☆202Updated last year
- ☆158Updated 3 years ago
- This is a deep learning application project in the industrial field, intended to detect defects on the workpiece surface. The code is bas…☆85Updated 5 years ago
- A dataset of functional and defective solar cells extracted from EL images of solar modules☆282Updated last week
- Foggy Insulator Network, Dataset and Code. Improved object detection network, synthetic fog, data augmentation, channel attention mechani…☆116Updated last year
- demo project of <A Surface Defect Detection Method Based on Positive Samples>, deployed in pytorch☆42Updated 5 years ago
- unofficial version of EfficientAD☆150Updated 2 years ago
- 集yolov5、centernet、unet算法的pyqt5界面，可实现图片目标检测和语义分割☆176Updated 3 years ago
- Support data enhancement when there are few data sets（支持数据集较少的情况进行数据增强，包含随机的多种变化）☆45Updated 3 years ago
- 这里面存放了一些目标检测算法的数据增强方法。如mosaic、mixup。☆170Updated 3 years ago
- 铭牌印刷缺陷视觉检测系统☆42Updated 4 years ago
- Pytorch Implement of the paper "Segmentation-Based Deep-Learning Approach for Surface Defect Detection"☆197Updated 6 years ago
- 无监督正样本训练 检测缺陷并分割图像☆28Updated 4 years ago
- ☆562Updated last year