This repo contains implementation of deep learning-based steel surface defect segmentation models.

This repo contains state-of-the-art deep learning models for industrial anomaly detection, defect segmentation, detection, and classification, with other industrial machine vision applications.

This repository contains implementation of ResNet for surface defect classification, with detailed analysis of results.