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.
☆99Updated 3 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
- Deep Learning Based Steel Pipe Weld Defect Detection☆76Updated 3 years ago
- LF-YOLO (Lighter and Faster YOLO) is used to detect defect of X-ray weld image.☆54Updated 5 months ago
- This is the GC10-DET datasets of the upcoming paper " Deep Metallic Surface Defect Detection: the New Benchmark and Detection Network" Th…☆61Updated 2 years ago
- Official PyTorch implementation for "Mixed supervision for surface-defect detection: from weakly to fully supervised learning"☆299Updated 2 years ago
- The dataset I am using is NEU-DET, which uses yolov8 and its improved models (including Coordinate Attention and Swin Transformer) for de…☆54Updated last year
- Dataset for classification, detection and prognostics of surface defects on ball screw drives☆56Updated 3 years ago
- A Deep Context Learning based PCB Defect Detection Model with Anomalous Trend Alarming System☆14Updated last year
- This project aims to automatically detect surface defects in Hot-Rolled Steel Strips such as rolled-in scale, patches, crazing, pitted su…☆50Updated 3 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。☆134Updated 4 years ago
- This repo contains implementation of deep learning-based steel surface defect segmentation models. Extensive experiments on several deep …☆14Updated 10 months 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☆150Updated 2 years ago
- ⚡EDRNet:Encoder-Decoder Residual Network for Salient Object Detection of Strip Steel Surface Defects☆51Updated 4 years ago
- 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…☆42Updated last month
- mobile phone screen surface defect segmentation (detection) dataset.☆46Updated 3 months ago
- This is a deep learning application project in the industrial field, intended to detect defects on the workpiece surface. The code is bas…☆80Updated 4 years ago
- Foggy Insulator Network, Dataset and Code. Improved object detection network, synthetic fog, data augmentation, channel attention mechani…☆106Updated 11 months ago
- This is the implementation of Semi-supervised Anomaly Detection using AutoEncoders☆62Updated 4 years ago
- 基于yolov8的基建裂缝目标检测系统☆33Updated last year
- 玻璃绝缘子缺陷检测☆32Updated 4 years ago
- Unsupervised classification of the North Eastern University Steel Surface Defects Database☆29Updated last year
- A dataset of functional and defective solar cells extracted from EL images of solar modules☆242Updated 3 months ago
- 以Swin Transformer作为骨干网络的YoloX目标检测项目☆79Updated 2 years ago
- Exercise: Use YOLO to detect hot-rolled steel strip surface defects (NEU-DET dataset).☆22Updated 2 years ago
- ⚡Saliency detection for strip steel surface defects using multiple constraints and improved texture features☆30Updated 4 years ago
- 基于深度学习的热轧带钢表面缺陷自动检测技术☆39Updated 2 years ago
- ☆17Updated 2 years ago
- [MICCAI'24] Official implementation of "BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection".☆100Updated 2 weeks ago
- This is a Saliency detection toolbox Specially designed for surface defect detection.☆179Updated 2 years ago
- AIFT2019-Real-time fabric defect segmentation based on convolutional neural network☆33Updated 5 years ago
- 这是一个yolact-pytorch的库,可用于训练自己的数据集☆76Updated last year