Abstract: Insulator defect detection (IDD) of transmission lines is crucial for power system safety and stability, with Un-manned Aerial Vehicle (UAV)-based machine learning methods becoming prevalent ...

The dataset is already organized in YOLO format in the steel_dataset/ directory. If you need to reorganize from original format, see utility/reorganize_dataset.py. steel-defect-detection/ ├── ...

The largest liver study in the history of the NHS has launched this week, aiming to detect liver disease at an early stage so treatment can begin before it progresses to cirrhosis. Around 70% of ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

Abstract: This study proposes an anchor-free insulator defect detection method based on an Adaptive Defect Feature Enhancement Network (ADFE-Net) for rapid and precise defect identification. The ...

Chipmakers worldwide consider Automatic Test Pattern Generation (ATPG) their go-to method for achieving high test coverage in production. ATPG generates test patterns designed to detect faults in the ...

Scientists from the federally funded Argonne National Laboratory in Illinois and the University of Virginia have developed a new approach for detecting defects in metal parts produced by 3D printing.