Projects
Grad Courses
Road-Defect Classification with Deep Learning
- Year
- 2025
- Status
- Graduate coursework
- Category
- Grad Courses
- Tools
- Python, PyTorch, ResNet18
Context
Explored computer vision for infrastructure condition assessment by classifying road-surface defects from images.
Approach
Applied transfer learning by fine-tuning a ResNet18 convolutional network on a road-surface defect dataset.
Outcome
Demonstrated a deep learning workflow for automated road-surface defect classification.