This project focuses on classifying six types of metal surface defects using a Convolutional Neural Network (CNN) build using Pytorch. In real-world manufacturing environments, surface defect ...

Abstract: Accurate surface defect classification is essential for industrial quality inspection but remains challenging due to the scarcity of annotated samples, high annotation costs, and significant ...

Abstract: Steel surface defect classification is critical for quality control in industrial manufacturing. Although neural networks have the capability to defect detection, their training often ...

project/ ├── data/ │ └── preprocessing.py # Data loading and augmentation ├── training/ │ ├── train.py # Main training script │ └── training_notebook.ipynb # Interactive training ├── evaluation ...

The final, formatted version of the article will be published soon. The visual quality and structural integrity of fair-faced concrete—a construction material prized for its aesthetic finish—are ...

Whether the discussion is about smart manufacturing or digital transformation, one of the biggest conversations in the semiconductor industry today centers on the tremendous amount of data fabs ...