Generative Model-Driven Synthetic Training Image Generation: An Approach to Cognition in Rail Defect Detection

no code implementations • 31 Dec 2023 • Rahatara Ferdousi, Chunsheng Yang, M. Anwar Hossain, Fedwa Laamarti, M. Shamim Hossain, Abdulmotaleb El Saddik

This research offers a promising solution to the data scarcity challenge in rail defect detection, showcasing the potential for robust ICS development in this domain.

Data Augmentation Defect Detection +2

A Reusable AI-Enabled Defect Detection System for Railway Using Ensembled CNN

no code implementations • 24 Nov 2023 • Rahatara Ferdousi, Fedwa Laamarti, Chunsheng Yang, Abdulmotaleb El Saddik

By combining ensemble learning with transfer learning models (VGG-19, MobileNetV3, and ResNet-50), we improved the classification accuracy and achieved consistent performance at a certain phase of training.

Defect Detection Ensemble Learning +1