aviralchharia / Surface-Defect-Detection-in-Hot-Rolled-Steel-StripsLinks
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.
☆55Updated 4 years ago
Alternatives and similar repositories for Surface-Defect-Detection-in-Hot-Rolled-Steel-Strips
Users that are interested in Surface-Defect-Detection-in-Hot-Rolled-Steel-Strips are comparing it to the libraries listed below
Sorting:
- 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
- A dataset of functional and defective solar cells extracted from EL images of solar modules☆264Updated 9 months ago
- Implementation of automatic computer-aided identification system to recognize different types of welding defects in radiographic images w…☆26Updated 4 years ago
- Exercise: Use YOLO to detect hot-rolled steel strip surface defects (NEU-DET dataset).☆25Updated 3 years ago
- Deep Learning Based Steel Pipe Weld Defect Detection☆88Updated 3 years ago
- Implementation of the paper: Defect Detection in Plain Weave Fabrics by Yarn Tracking and Fully Convolutional Networks☆66Updated 4 years ago
- Detection, localization and classification of surface defects on a steel sheet using CNN. Using libraries Keras and sklearn.☆18Updated 5 years ago
- Dataset for classification, detection and prognostics of surface defects on ball screw drives☆68Updated 4 years ago
- 基于深度学习的热轧带钢表面缺陷自动检测技术☆45Updated 3 years ago
- This is a repository about PCB defect detection.☆476Updated 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。☆150Updated 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…☆67Updated 3 years ago
- Detecting Faults and Measuring Severity in Welding using Radiographic Images☆51Updated 4 years ago
- semiconductor wafer pattern map classified from web data sets WM-811K☆38Updated 2 years ago
- Unsupervised classification of the North Eastern University Steel Surface Defects Database☆32Updated 2 years ago
- Classification of automotive parts as defective and non-defective with transfer learning.☆15Updated 8 months ago
- LF-YOLO (Lighter and Faster YOLO) is used to detect defect of X-ray weld image.☆62Updated last year
- A repository for creating a Deep Learning model for Defect Detection in PCBs and to design a Web Application for it.☆38Updated 3 years ago
- This GitHub Repository was produced to share material relevant to the Journal paper "Automatic crack classification and segmentation on m…☆183Updated 8 months ago
- Crack Detection On Highway Or Pavement Using OpenCV☆150Updated 11 months ago
- ☆328Updated 8 years ago
- Official PyTorch implementation for "Mixed supervision for surface-defect detection: from weakly to fully supervised learning"☆311Updated 3 years ago
- Deep Learning Model for Crack Detection and Segmentation☆155Updated last year
- This is the implementation of Semi-supervised Anomaly Detection using AutoEncoders☆62Updated 5 years ago
- Lightweight Rail Surface Defect Detection Algorithm Based on an Improved YOLOv8☆31Updated 5 months ago
- A PCB defect dataset.☆408Updated 6 years ago
- Radiographic image dataset for weld defects classification☆33Updated 2 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…☆83Updated 5 years ago
- Detection and Classification of defects present on Printed Circuits Boards (PCBs)☆20Updated 3 years ago
- 📅This repository contains the code for crack detection in concrete surfaces. It is a PyTorch implementation of Deep Learning-Based Crack…☆85Updated 6 months ago