LeeWise9 / Segmentation-Based-Surface-Defect-DetectionLinks
This is a deep learning application project in the industrial field, intended to detect defects on the workpiece surface. The code is based on keras and runs on GPU.
☆85Updated 5 years ago
Alternatives and similar repositories for Segmentation-Based-Surface-Defect-Detection
Users that are interested in Segmentation-Based-Surface-Defect-Detection are comparing it to the libraries listed below
Sorting:
- Surface Defect Detection with Segmentation-Decision Network on KolektorSDD☆139Updated 4 years ago
- Segmentation-Based Deep-Learning Approach for Surface-Defect Detection☆26Updated 4 years ago
- Segmentation-based deep-learning approach for surface-defect detection with pytorch☆25Updated 10 months ago
- generate randomly defects on positive samples and restore them with GAN.☆40Updated 4 years ago
- Pytorch Implement of the paper "Segmentation-Based Deep-Learning Approach for Surface Defect Detection"☆196Updated 6 years ago
- dataset of the upcoming paper "Saliency of magnetic tile surface defects"☆202Updated 5 years ago
- This is a Saliency detection toolbox Specially designed for surface defect detection.☆185Updated 3 years ago
- ☆158Updated 3 years ago
- My code for Tianchi competition-Aluminum surface defect detection(held by Alibaba Cloud). My final rank is 10/2972(top 0.3%).☆249Updated 4 years ago
- ☆47Updated 3 years ago
- defect detection algorithm☆141Updated 2 years ago
- 广东工业智造大赛--布匹瑕疵检测复赛代码☆186Updated 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
- This repo contains data pre-processing, classification and defect detection methodologies for images from Advance XRay Inspection from mu…☆56Updated 4 years ago
- 玻璃绝缘子缺陷检测☆33Updated 4 years ago
- ⚡EDRNet:Encoder-Decoder Residual Network for Salient Object Detection of Strip Steel Surface Defects☆55Updated 4 years ago
- 天池2021广东工业智能制造大赛瓷砖瑕疵检测极客奖方案☆79Updated 3 years ago
- Official PyTorch implementation for "Mixed supervision for surface-defect detection: from weakly to fully supervised learning"☆314Updated 3 years ago
- 无监督正样本训练 检测缺陷并分割图像☆27Updated 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。☆154Updated 5 years ago
- 针对不同旋转矩形框标签格式的转换(txt和xml)☆78Updated 4 years ago
- 鉴于该 填鸭式 方法对小目标的数据增强的详细的描述较少，故重新整理了代码，并添加了说明。按照md文件的说明，应该可以正常的运行☆46Updated 7 months ago
- DefectNet: Towards Fast and Effective Defect Detection☆22Updated 2 years ago
- 布匹缺陷识别练习赛☆47Updated 4 years ago
- Code of kaggle semantic segmentation competition: Steel Defect Detection.☆24Updated 3 years ago
- Dataset for classification, detection and prognostics of surface defects on ball screw drives☆71Updated last month
- ☆61Updated 7 years ago
- ☆24Updated 6 years ago
- I tried to apply the CAM algorithm to YOLOv4 and it worked.☆61Updated 4 years ago
- Implementation of the paper: Defect Detection in Plain Weave Fabrics by Yarn Tracking and Fully Convolutional Networks☆67Updated 5 years ago