Intersection Over Union (IoU) is a metric used to evaluate the accuracy of an object detector on a particular dataset by comparing the predicted bounding box with the ground truth bounding box. It is calculated as the area of overlap between the predicted and ground truth boxes divided by the area of their union, with a higher IoU indicating better performance.