lvxiaoming2019 / GC10-DET-Metallic-Surface-Defect-Datasets
This is the GC10-DET datasets of the upcoming paper " Deep Metallic Surface Defect Detection: the New Benchmark and Detection Network" The images of 10 common Metallic Surface defects were collected, and their pixel level ground-truth were labeled.
☆67Updated 3 years ago
Alternatives and similar repositories for GC10-DET-Metallic-Surface-Defect-Datasets:
Users that are interested in GC10-DET-Metallic-Surface-Defect-Datasets are comparing it to the libraries listed below
- Dataset for classification, detection and prognostics of surface defects on ball screw drives☆60Updated 3 years ago
- mobile phone screen surface defect segmentation (detection) dataset.☆54Updated 6 months ago
- Segmentation-Based Deep-Learning Approach for Surface-Defect Detection☆26Updated 4 years ago
- ⚡EDRNet:Encoder-Decoder Residual Network for Salient Object Detection of Strip Steel Surface Defects☆53Updated 4 years ago
- ☆43Updated 2 years ago
- dataset of the upcoming paper "Saliency of magnetic tile surface defects"☆192Updated 4 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…☆80Updated 5 years ago
- Official PyTorch implementation for "Mixed supervision for surface-defect detection: from weakly to fully supervised learning"☆307Updated 3 years ago
- LF-YOLO (Lighter and Faster YOLO) is used to detect defect of X-ray weld image.☆58Updated 9 months ago
- generate randomly defects on positive samples and restore them with GAN.☆40Updated 4 years ago
- Code and dataset of Triplet- Graph Reasoning Network for Few-shot Metal Generic Surface Defect Segmentation☆39Updated 2 years ago
- ☆25Updated 4 years ago
- Deep Learning Based Steel Pipe Weld Defect Detection☆85Updated 3 years ago
- demo project of <A Surface Defect Detection Method Based on Positive Samples>, deployed in pytorch☆41Updated 5 years ago
- SSGD(ICASSP2023)☆42Updated 5 months ago
- A solder joint dataset segmented from PCBs' passive SMD and ICs.☆9Updated last year
- Segmentation-based deep-learning approach for surface-defect detection with pytorch☆25Updated 5 months ago
- Code of IEEE TIM Paper: ETDNet: Efficient Transformer-Based Detection Network for Surface Defect Detection☆23Updated last year
- DefectNet: Towards Fast and Effective Defect Detection☆22Updated 2 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 2 months ago
- ☆24Updated 4 years ago
- This project is about detecting defects on steel surface using Unet. The dataset used for this project is the NEU-DET database.☆113Updated 3 years ago
- Foggy Insulator Network, Dataset and Code. Improved object detection network, synthetic fog, data augmentation, channel attention mechani…☆106Updated last year
- ☆155Updated 3 years ago
- 玻璃绝缘子缺陷检测☆33Updated 4 years ago
- ⚡Saliency detection for strip steel surface defects using multiple constraints and improved texture features☆34Updated 4 years ago
- This is the implementation of Semi-supervised Anomaly Detection using AutoEncoders☆62Updated 4 years ago
- This is a Saliency detection toolbox Specially designed for surface defect detection.☆185Updated 2 years ago
- ☆23Updated 2 years ago
- Photovoltaic cell defect detection☆102Updated last month