Image Defect Detection Model Collection

Object-detection models such as RetinaNet and CNN models finetuned via Transfer Learning to detect defects. 

Fine-tuning pre-trained models via transfer learning is particularly effective when the target task has a limited amount of labeled data or when training from scratch is prohibitively expensive in terms of time or computational resources.