Computer VisionRoad Lane Detection
A computer vision system that detects road lines using the YOLOv8 model with a Roboflow dataset. The system classifies road lines into broken lines and straight lines, contributing to road safety and autonomous driving technologies. Features real-time video processing and accurate lane classification.
Project Duration
Nov 2024 — Nov 2024
Client
Automotive ClientNDA
Key Features
Real-time lane detection
Broken line classification
Straight line classification
Video feed processing
High accuracy detection
Autonomous driving ready
Technology Stack
PythonYOLOv8RoboflowOpenCVDeep LearningComputer Vision
Project Metrics
94%
accuracy
30+
fps
2
classes
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