YOLO (You Only Look Once) is a real-time object detection framework that rapidly identifies objects in images or video streams. It employs a single neural network to simultaneously predict bounding boxes and class probabilities. YOLO's strength lies in its efficiency, capable of processing images in real-time due to its single forward pass architecture. This makes it ideal for applications like surveillance, autonomous vehicles, and robotics. YOLO leverages GPUs for accelerated processing, making it highly efficient for real-time tasks.