siddhartamukherjee / NEU-DET-Steel-Surface-Defect-DetectionLinks
This project is about detecting defects on steel surface using Unet. The dataset used for this project is the NEU-DET database.
☆114Updated 4 years ago
Alternatives and similar repositories for NEU-DET-Steel-Surface-Defect-Detection
Users that are interested in NEU-DET-Steel-Surface-Defect-Detection are comparing it to the libraries listed below
Sorting:
- Deep Learning Based Steel Pipe Weld Defect Detection☆86Updated 3 years ago
- Dataset for classification, detection and prognostics of surface defects on ball screw drives☆66Updated 3 years ago
- This is the GC10-DET datasets of the upcoming paper " Deep Metallic Surface Defect Detection: the New Benchmark and Detection Network" Th…☆66Updated 3 years ago
- LF-YOLO (Lighter and Faster YOLO) is used to detect defect of X-ray weld image.☆58Updated 10 months ago
- ⚡EDRNet:Encoder-Decoder Residual Network for Salient Object Detection of Strip Steel Surface Defects☆53Updated 4 years ago
- Official PyTorch implementation for "Mixed supervision for surface-defect detection: from weakly to fully supervised learning"☆307Updated 3 years ago
- Code of IEEE TIM Paper: ETDNet: Efficient Transformer-Based Detection Network for Surface Defect Detection☆24Updated last year
- The dataset I am using is NEU-DET, which uses yolov8 and its improved models (including Coordinate Attention and Swin Transformer) for de…☆76Updated last year
- 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。☆148Updated 4 years ago
- 基于卷积自编码器和图像金字塔的布料缺陷无监督学习与检测方法☆8Updated 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…☆60Updated 5 months ago
- Lightweight Rail Surface Defect Detection Algorithm Based on an Improved YOLOv8☆26Updated 3 months ago
- mobile phone screen surface defect segmentation (detection) dataset.☆55Updated 7 months ago
- ⚡Saliency detection for strip steel surface defects using multiple constraints and improved texture features☆35Updated 4 years ago
- This project aims to automatically detect surface defects in Hot-Rolled Steel Strips such as rolled-in scale, patches, crazing, pitted su…☆54Updated 3 years ago
- 玻璃绝缘子缺陷检测☆33Updated 4 years ago
- A Deep Context Learning based PCB Defect Detection Model with Anomalous Trend Alarming System☆31Updated 2 years ago
- 基于深度学习 的热轧带钢表面缺陷自动检测技术☆44Updated 3 years ago
- [IEEE TIM] An Incremental Knowledge Learning Framework for Continuous Defect Detection☆22Updated last year
- This is a deep learning application project in the industrial field, intended to detect defects on the workpiece surface. The code is bas…☆81Updated 5 years ago
- SSGD(ICASSP2023)☆44Updated 6 months ago
- 针对NEU-DET数据集的钢材缺陷检测☆22Updated last year
- Foggy Insulator Network, Dataset and Code. Improved object detection network, synthetic fog, data augmentation, channel attention mechani…☆107Updated last year
- Detection and Classification of defects present on Printed Circuits Boards (PCBs)☆20Updated 3 years ago
- dataset of the upcoming paper "Saliency of magnetic tile surface defects"☆196Updated 5 years ago
- ☆25Updated 4 years ago
- ☆43Updated 2 years ago
- Exercise: Use YOLO to detect hot-rolled steel strip surface defects (NEU-DET dataset).☆24Updated 3 years ago
- 基于faster-RCNN的PCB元器件缺陷检测☆40Updated 2 years ago
- This is the implementation of Semi-supervised Anomaly Detection using AutoEncoders☆62Updated 5 years ago