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/ ├── ...

According to MarketsandMarkets™, the AI Inspection Market is projected to grow from USD 33.07 billion in 2025 to USD 102.42 ...

Perplexity for smarter patent research, Gemini for upgrading Google Slides, and QuizGPT for turning passive learning into ...

Precision Solutions for Semiconductors and Electronics The semiconductor industry represents the pinnacle of precision manufacturing. As components continue to shrink, the difficulty of inspection ...

Abstract: Iron and steel is widely used in the field of construction and industry. The traditional steel defect detection technology has problems such as high labor cost, low detection efficiency and ...

Terahertz defect detection plays a crucial role in various industrial applications, where accurate and efficient identification of small defects is challenging. In this study, we propose an enhanced ...

DDA provides real-time defect detection capabilities for manufacturing quality control using computer vision and machine learning. The system runs at the edge using AWS IoT Greengrass, enabling ...

External defect detection is a crucial step in Orah mandarin citrus grading. However, in existing defect detection algorithms by image processing, Orah mandarin surfaces exhibit characteristics such ...