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Before YOLO, teaching computers to "see" objects in images was a slow, multi-step process. Systems would scan an image hundreds of times, making them too slow for real-world applications. Then, a revolutionary idea emerged: what if you only looked once? This video dives into YOLO (You Only Look Once), the groundbreaking system that transformed object detection from a laborious task into a single, real-time prediction. In this video you will discover: • How YOLO predicts bounding boxes and classes simultaneously. • The advantage of processing the entire image at once for context. • Why YOLO achieves blazing fast speeds (over 150 FPS!). • Its impressive ability to generalize to new, unseen types of images, even art. While it might miss a few tiny objects, YOLO's speed and robustness made it a game-changer, paving the way for autonomous vehicles, real-time surveillance, and countless other computer vision applications. #YOLO #ObjectDetection #ComputerVision #MachineLearning #DeepLearning #NeuralNetworks #AI #RealTimeAI #TechExplained #ArtificialIntelligence