xiaohuanlaile / steel-defect-detection
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。
☆11Updated 5 months ago
Alternatives and similar repositories for steel-defect-detection
Users that are interested in steel-defect-detection are comparing it to the libraries listed below
Sorting:
- ☆41Updated 9 months ago
- Steel defect detection system based on improved YOLOv8 algorithm(基于改进YOLOv8算法的钢材瑕疵辅助检测系统)☆23Updated 8 months ago
- A-Net: An A-shape Lightweight Neural Network for Real-time Surface Defect Segmentation☆16Updated last year
- [MICCAI'24] Official implementation of "BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection".☆114Updated 3 months ago
- An Open Source Enhancement Algorithm for PCB Defect Detection Based on YOLOv8 Model☆17Updated last month
- 铭牌印刷缺陷视觉检测系统☆36Updated 4 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☆166Updated 2 years ago
- Lightweight Rail Surface Defect Detection Algorithm Based on an Improved YOLOv8☆26Updated 2 months 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
- [IMAVIS] Official implementation of "ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation".☆86Updated 2 months ago
- Multiscale Attention Based Efficient U-Net for Crack Segmentation, segments a RGB image into 2 classes crack and non-crack, this method o…☆40Updated 2 years ago
- 基于小目标检测头的改进YOLOv5红外遥感图像小目标检测系统☆56Updated last year
- ☆15Updated last year
- LF-YOLO (Lighter and Faster YOLO) is used to detect defect of X-ray weld image.☆58Updated 9 months ago
- This project is about detecting defects on steel surface using Unet. The dataset used for this project is the NEU-DET database.☆114Updated 3 years ago
- 改进YOLOv5＆OpenCV的PCB板缺陷检测系统（源码和部署教程）☆57Updated last year
- 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
- 使用Unet系列语义分割模型,对超声波图像进行分割诊断.☆43Updated 3 years ago
- YOLOv5和OpenCV的金属缺陷检测系统 （源码和部署教程）☆33Updated last year
- ⚡EDRNet:Encoder-Decoder Residual Network for Salient Object Detection of Strip Steel Surface Defects☆53Updated 4 years ago
- ☆101Updated last year
- 支持多模型工程化的图像分类器☆24Updated 3 years ago
- 基于Python OpenCV的图像算法原理及代码示例｜平移变换、尺度变换、旋转变换、仿射变换 求反、动态范围压缩、阶梯量化、阈值分割 加法、平均法消除噪声、减法 直方图均衡化、直方图规定化 线性平滑滤波器、线性锐化滤波器、非线性平滑滤波器、非线性锐化滤波器 傅里叶变换和反…☆71Updated 2 years ago
- 深度学习项目--基于深度卷积网络的肝脏分割☆13Updated 3 years ago
- Official implementation of "Exploiting Scale-Variant Attention for Segmenting Small Medical Objects"☆51Updated last month
- [ICASSP 2022] FDSNet: An Accurate Real-Time Surface Defect Segmentation Network☆37Updated 6 months ago
- (BIBM22) This is the official code repository for "MALUNet: A Muti-Attention and Light-weight UNet for Skin Lesion Segmentation".☆91Updated last year
- ☆51Updated last year
- (1) Purpose: A weakly supervised surface defect detection model using image-level labels for simultaneous classification and segmentation…☆24Updated last year
- 钢材表面缺陷检测与分割竞赛的解决方案☆20Updated 6 months ago