More recently, advanced deep learning-based approaches like YOLO (You Only Look Once) and SSD (Single Shot MultiBox Detector) have gained significant attention in the field of object detection. These models are capable of detecting objects in real-time and achieving impressive accuracy. YOLO, for instance, divides the image into a grid and assigns each cell the responsibility of detecting objects. This enables rapid detection of objects in a single pass through the network, making it highly efficient for real-time applications such as video analysis.