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/ ├── ...

This project implements and compares two YOLOv12 object-detection pipelines for printed-circuit-board (PCB) defect identification. The objective is to detect four major defect types: ...

Software defect prediction and cost estimation are critical challenges in software engineering, directly influencing software quality and project management efficiency. This study presents a ...

Abstract: In the area of manufacturing, ensuring the integrity of structural elements of steel parts is important for safety and quality control The traditional ...

Abstract: In industrial fabric productions, real time systems are needed to detect the fabric defects. This paper presents a real time defect detection approach which compares the time performances of ...