Before we get into YOLOv10, let’s take a quick trip down memory lane. YOLO has been a trailblazer in real-time object detection, balancing speed and accuracy. From YOLOv1 to YOLOv9, each version has introduced significant improvements in architecture, optimization, and data augmentation. 🚀
However, as the models evolved, certain limitations persisted, particularly with the reliance on Non-Maximum Suppression (NMS) for post-processing, which can slow down inference times. YOLOv10 addresses these challenges head-on, making it a robust and efficient model for real-time applications. 💪
