A Review: YOLO and Its Advancements

Object detection technique plays an important role in artificial intelligence. You Only Look Once (YOLO) is widely used in robots, autonomous vehicles, and real-time detection applications. In this paper, YOLO and its advanced versions (a total 16) are discussed and evaluated by looking at its architecture, modifications, and performance improvement in YOLO to YOLO-NAS. Various applications of YOLO and its advanced versions are also presented. Lastly, major key takeaways from its development and future prospective research routes are discussed. The crucial observation is that the YOLO algorithm is still being improved. The paper concludes by outlining the key takeaways from YOLO's evolution and offering some thoughts by drawing attention to possible avenues for future research to improve real-time object identification systems.