IOU Merge For Free

However, to say that a written IOU has no legal value is incorrect.But if someone you cannot or do not want to refuse needs a loan at a time or place when you can get no lawyer, note or collateral, a signed IOU is enforceable written evidence of a debt.

Intersection over Union is an evaluation metric used to measure the accuracy of an object detector on a particular dataset.Any algorithm that provides predicted bounding boxes as output can be evaluated using IoU.

Mean average precision (mAP) is calculated by first gathering a set of predicted object detections and a set of ground truth object annotations. For each prediction, IoU is computed with respect to each ground truth box in the image.The mean of the AP of all object classes is the mAP.

The Intersection over Union (IoU) metric, also referred to as the Jaccard index, is essentially a method to quantify the percent overlap between the target mask and our prediction output. This metric is closely related to the Dice coefficient which is often used as a loss function during training.

$GIoU$ as a Metric. In object detection, $IoU$ is used as a metric to evaluate how close the prediction bounding box is to the ground truth.In this case, and any other case where there is no overlap between the ground truth and prediction bounding boxes, intersection is 0, therefore $IoU$ will be 0 as well.

An Intersection over Union score > 0.5 is normally considered a good prediction.

As a summary, the IoU score measures how close is the predicted box to the ground-truth box. It ranges from 0.0 to 1.0 where 1.0 is the optimal result. When the IoU is greater than the threshold, then the box is classified as Positive as it surrounds an object.