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/ ├── ...
Photo-induced force microscopy (PiFM) is a sophisticated nanoscale characterization approach that combines the elevated spatial resolution of atomic force microscopy (AFM) with infrared (IR) ...
Ailsa Ostovitz has been accused of using AI on three assignments in two different classes this school year. "It's mentally exhausting because it's like I know this is my work," says Ostovitz, 17. "I ...
Ford has launched two AI systems to help factory workers find minor parts problems. The system checks if the correct trim parts are added to each vehicle and if each electrical connection is fully ...
John Clemons is a Solution Consultant for Rockwell Automation. He’s been working in the field of Manufacturing Technology for over 30 years. This year, we’re taking a close look at the use of ...
Software defect prediction and cost estimation are critical challenges in software engineering, directly influencing software quality and project management efficiency. This study presents a ...
A MATLAB project for shape and traffic sign recognition using classical image processing techniques. It includes color segmentation, feature extraction (Hu moments, HOG, LSS), and classification with ...
Abstract: In the area of manufacturing, ensuring the integrity of structural elements of steel parts is important for safety and quality control The traditional systems of defect detection in steel ...
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