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Computer VisionDeep Learning
Car & Pedestrian Detection
Real-time YOLOv8 object detection for cars and pedestrians in urban scenes.
Architecture
Annotated dataset
YOLOv8 training
Validation
Video inference
Metrics review
Results
Reached mAP@0.5 of 0.769.
Balanced car and pedestrian detection under real-time constraints.
Challenges
Occlusion
Lighting variation
Class imbalance
Future Improvements
Tracking IDsEdge inferenceSafety analytics