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In this video, the presenter explains the Intersection over Union (IoU) metric, essential for object detection in computer vision. IoU quantifies the overlap between two bounding boxes, serving as an evaluation tool for the accuracy of object detection algorithms. The metric yields a value between 0 and 1, with a higher value indicating better alignment between the predicted bounding box and the ground truth. The video also includes a visual representation, illustrating that IoU is calculated as the area of overlap or intersection divided by the area of union. For further details, viewers can refer to the linked article on the blog idea developer.com.