IOU OCR For Free

An IOU, a phonetic acronym of the words "I owe you," is a document that acknowledges the existence of a debt. An IOU is often viewed as an informal written agreement rather than a legally binding commitment. Dating as far back as the 18th century, at least, IOUs are still very much in use.

Mean Intersection-Over-Union is a common evaluation metric for semantic image segmentation, which first computes the IOU for each semantic class and then computes the average over classes. IOU is defined as follows: IOU = true_positive / (true_positive + false_positive + false_negative).

The Cisco Learning Network Cisco IOS on UNIX (IOU) is a fully working version of IOS that runs as a user mode UNIX (Solaris) process. IOU is built as a native Solaris image and run just like any other program. IOU supports all platform independent protocols and features.

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.

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.

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.

IOU is defined as follows: IOU = true_positive / (true_positive + false_positive + false_negative). The predictions are accumulated in a confusion matrix, weighted by sample_weight and the metric is then calculated from it.