V. Pal

An Optimized YOLOv11-Based Deep Learning Framework With CNN Feature Enhancement for Tile Crack Detection

A combination of enhanced CNN preprocessing and the YOLOv11 model to enhance the effectiveness of crack detection takes advantage of the capabilities of the YOLOv11 model to detect cracks on tiles and aims to use a wide range of tile images in different lighting conditions, textures, and types of defects.