To solve this problem, we introduce a deep learning-based 2D+3D vehicle paint surface appearance defect detection solution. By installing 2D/3D detection sensors on robots, we achieve comprehensive ...

Abstract: To tackle the shortcomings of existing algorithms in detecting small defects amidst complex backgrounds, we present an enhanced YOLOv12-based steel surface defect detection algorithm, ...

The steelsurface-defect-detection application uses advanced techniques to identify defects on steel surfaces. It leverages a Convolutional Neural Network (CNN) and the NEU dataset for training. With ...

steel_defect_detection/ │ ├── src/ # All source code │ ├── train.py # Model training │ ├── predict.py # Single image prediction │ ├── batch_predict.py # Batch prediction for folders │ ├── ...

Surface defects in ceramic tiles could be automatically detected by a new system being developed at the University of the West of England. Surface defects in ceramic tiles, invisible to the naked eye, ...

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 ...