GitHub repository: Jellal-17/Steel-Defect-Detection
Primary language: Python
Created: 2025-01-07T15:04:23Z
Description: A deep learning-based project for detecting and segmenting defects in steel surfaces using a UNet model. Designed for industrial automation and quality control, the system offers real-time inference and performance evaluation with metrics like Dice Coefficient and IoU. 🚀