Intersection over union (IoU): Revision history

Diff selection: Mark the radio buttons of the revisions to compare and hit enter or the button at the bottom.
Legend: (cur) = difference with latest revision, (prev) = difference with preceding revision, m = minor edit.

19 March 2023

  • curprev 06:2206:22, 19 March 2023‎ Walle talk contribs‎ 3,392 bytes +3,392‎ Created page with "{{see also|Machine learning terms}} ==Intersection over Union (IoU)== Intersection over Union (IoU) is a widely used metric for evaluating the performance of object detection and instance segmentation algorithms in machine learning. It measures the degree of overlap between two bounding boxes or shapes, often representing the predicted output and the ground truth. IoU is particularly important in tasks such as object detection, semantic segmentation, and instance segment..."
Retrieved from "http:///wiki/Intersection_over_union_(IoU)"