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In this video tutorial, the concept of Intersection over Union (IoU) is introduced as a key evaluation metric for object detection in computer vision. The tutorial explains that IoU measures the overlap between two bounding boxes—typically, the ground truth and a predicted box. It results in a value ranging from 0 to 1, where a higher IoU indicates a closer alignment between the predicted and actual bounding boxes. The formula for IoU is given as the area of overlap (intersection) divided by the area of union of the two boxes. The video includes visuals to illustrate the concept effectively. For additional details, viewers are directed to a related blog article linked in the description.