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In this video tutorial, the concept of Intersection over Union (IoU) is explained. IoU measures the overlap between a ground truth box (green) and predicted boxes (red) in object detection tasks. The intersection is the area where the predicted box overlaps with the ground truth, while the union is the total area covered by both boxes. A higher IoU value indicates better performance in prediction accuracy, with a threshold of 0.5 considered acceptable. The video highlights examples showing varying IoU values, illustrating the differences in overlap and the implications for object detection accuracy.
