Comparative analysis of YOLO and transformers for pedestrian detection

• Main Author: Wong, Ying Xuan
• Other Authors: Vidya Sudarshan
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Computer and Information Science
• Online Access: https://hdl.handle.net/10356/175269
• Institution: Nanyang Technological University

This report aims to study and compare the performance of two state-of-the-art real-time object detectors – YOLOv8 (You Only Look Once, 8th version) and RT-DETR (Real-Time Detection Transformers) in tackling pedestrian detection. Throughout the report, both models were trained and evaluated on differ...