NDT Defect Classification Hands-on — From PyTorch + ResNet18 Transfer Learning to Grad-CAM
An opportunity came up to put my embedded object recognition experience to use, so I picked up NDT (non-destructive testing) again. A hands-on record of training a 6-class defect classifier on the NEU Steel Defect dataset using transfer learning, and visualizing the model's decision basis with Grad-CAM.
