This project is about detecting defects on steel surface using Unet. The dataset used for this project is the NEU-DET database.
☆154May 22, 2021Updated 5 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. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ⚡Saliency detection for strip steel surface defects using multiple constraints and improved texture features☆40Jun 8, 2020Updated 6 years ago
- This project aims to automatically detect surface defects in Hot-Rolled Steel Strips such as rolled-in scale, patches, crazing, pitted su…☆64Jun 15, 2021Updated 5 years ago
- ☆16Apr 4, 2021Updated 5 years ago
- Exercise: Use YOLO to detect hot-rolled steel strip surface defects (NEU-DET dataset).☆32Mar 11, 2022Updated 4 years ago
- 针对NEU-DET数据集的钢材缺陷检测☆34Jun 23, 2023Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Unsupervised classification of the North Eastern University Steel Surface Defects Database☆39Feb 16, 2023Updated 3 years ago
- ⚡EDRNet:Encoder-Decoder Residual Network for Salient Object Detection of Strip Steel Surface Defects☆55Jan 18, 2021Updated 5 years ago
- 📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of…☆4,124May 27, 2024Updated 2 years ago
- ☆30Dec 30, 2020Updated 5 years ago
- [IEEE TIM] An Incremental Knowledge Learning Framework for Continuous Defect Detection☆28May 16, 2024Updated 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…☆152Dec 7, 2023Updated 2 years ago
- This repo contains implementation of deep learning-based steel surface defect segmentation models. Extensive experiments on several deep …☆25Apr 17, 2026Updated 5 months ago
- Classification of automotive parts as defective and non-defective with transfer learning.☆18Dec 2, 2024Updated 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…☆90Feb 5, 2020Updated 6 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Code for "Exploring Grounding Potential of VQA-oriented GPT-4V for Zero-shot Anomaly Detection"☆31Nov 7, 2023Updated 2 years ago
- This is the GC10-DET datasets of the upcoming paper " Deep Metallic Surface Defect Detection: the New Benchmark and Detection Network" Th…☆84Mar 18, 2022Updated 4 years ago
- This project include several different surfaces, each surface contains one or several defects. For segmentation,object detection, salienc…☆399May 26, 2021Updated 5 years ago
- ☆12Mar 13, 2024Updated 2 years ago
- 钢材表面缺陷检测与分割竞赛的解决方案☆24Nov 12, 2024Updated last year
- ☆11Apr 28, 2026Updated 5 months ago
- Metal Surface Defect Inspection through Deep Convolution Neural Network☆18Nov 15, 2023Updated 2 years ago
- DefectSegNet for semantic segmentation of defects in Steels☆11Feb 17, 2020Updated 6 years ago
- The official implementation of the paper DADF for industrial VAD☆13Dec 1, 2023Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Code and dataset of Triplet- Graph Reasoning Network for Few-shot Metal Generic Surface Defect Segmentation☆46Jul 30, 2025Updated last year
- [INFFUS 2025] A taxonomy of industrial anomaly detection methods and datasets (updating).☆124Nov 14, 2025Updated 10 months 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…☆90Aug 11, 2025Updated last year
- Open-source code for our CVPR19 paper "Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification w…☆35Mar 29, 2021Updated 5 years ago
- Use ResNet50 deep learning model to predict defects in steel and visually localize the defect using Res-UNET model class☆19Jan 22, 2021Updated 5 years ago
- Metal Surface Defect for Few-shot Classification Using Graph Embedding and Optimal Transport(IEEE TIM)☆17Dec 4, 2022Updated 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。☆169Jun 15, 2020Updated 6 years ago
- 描述: 这是一个深度学习项目，利用 HRNet 和 FPN 架构进行钢材表面缺陷检测。本项目针对噪声较大的比赛数据进行了优化，包括椒盐噪声模拟和拼接数据处理，采用自定义增强技术、高级损失函数及多尺度特征融合。仓库包含训练脚本、模型定义和评估指标。☆16Nov 17, 2024Updated last year
- DefectNet: Towards Fast and Effective Defect Detection☆24Dec 8, 2022Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Open-source code for our CVPR19 paper "Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification w…☆80Feb 24, 2020Updated 6 years ago
- ☆16Nov 18, 2022Updated 3 years ago
- SSGD(ICASSP2023)☆63Dec 1, 2024Updated last year
- [IEEE TII 2025] Official Implementation for "VarAD: Lightweight High-Resolution Image Anomaly Detection via Visual Autoregressive Modelin…☆30Apr 14, 2025Updated last year
- [ICASSP 2022] FDSNet: An Accurate Real-Time Surface Defect Segmentation Network☆42Oct 17, 2024Updated last year
- Dataset for classification, detection and prognostics of surface defects on ball screw drives☆82Aug 29, 2025Updated last year
- A collection of public datasets for surface metal defects detection task. Source, and roboflow (ready to use) links are included.☆34Nov 13, 2022Updated 3 years ago