Abstract : One of the core tasks in computer vision with many applications is object detection. As a result of recent developments, strong object detection architectures like YOLOv8 and EfficientDet have emerged, each with special benefits. In this paper, we integrate the advantages of both architectures to present a revolutionary unified object identification system. We achieve state-of-the-art performance across multiple benchmarks by utilizing the superior accuracy of EfficientDet and the real-time capability of YOLOv8. We offer thorough experiments proving the efficiency of our method and shed light on how well the two architectures work together. Our cohesive architecture, which strikes a compromise between speed and precision for realistic deployment in real-world scenarios, raises the bar for object detection systems.