An Integrated AI Automating Inspection Model for Surface Defect Segmentation and Classification in Construction Domain
This work gives unified Deep Learning model which evaluates on one of the public benchmark datasets from Kaggle which consists of sub folders of Magnetic-Tile Defect, DeepPCB, DBCC bridge cracks and CrackForest and is trained from scratch without pre-training and employs objective which is imbalanced.