• Challenge: Limited access to critical traffic camera data necessary for accident detection research.
• Approach: Curated a comprehensive dataset by sourcing publicly available footage and annotating accident
scenes. Utilized models such as YOLOv5, Faster R-CNN, and SSD_mobilenet_v2 to train the system.
• Outcome: Chose YOLOv5 for its superior accuracy (92%), optimizing it for real-time detection with minimal
false positives.
اسم المستقل | Ahmed M. |
عدد الإعجابات | 0 |
عدد المشاهدات | 1 |
تاريخ الإضافة | |
تاريخ الإنجاز |