Road Lane Detection
Computer vision ยท YOLOv8
Road Lane Detection is a computer-vision pipeline I built that fine-tunes YOLOv8 to detect road lanes and draws the detections back onto video.
- Course
- Computer Vision
- Type
- Data & systems
Overview
Road Lane Detection uses YOLOv8, custom training notebooks, inference scripts, bounding boxes, segmentation masks and MP4 output processing. It is a practical foundation for driver-assistance and autonomous-driving style workflows.
What I did
Built a computer-vision workflow around YOLOv8 training, inference, masks, boxes and video output.
- Python
- YOLOv8
- Jupyter
- Computer vision
Features
- Fine-tuned YOLOv8 lane detection
- Custom dataset training workflow
- Video inference pipeline
- Mask and bounding-box output generation
Notes
- Fine-tuned YOLOv8 weights
- Training and inference in Jupyter notebooks
- MP4 output with masks and bounding boxes