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What is difference between intersection over union (IoU) and intersection over bounding box (IoBB)?

Data Science Asked by p126018 Ali Raza on June 15, 2021

Can someone give a detailed explanation IoU and IoBB along with that the differences between them.

2 Answers

The Intersection over Bounding Box is the Intersection over Union (IoU) for object detection tasks, where you have a bounding box.

There are many tasks (e.g. image segmentation) where you have an IoU (the predicted segment vs the actual segment), but there are no bounding boxes.

Correct answer by JkBk on June 15, 2021

If you are talking about IoBB (Intersection over detected B-Box) used in medical imaging, I think it is different from IoU. IoBB would divide overlapped area over the area of detected B-Box not the Union of it.

In medical imaging, sometimes the detector identified smaller parts of a large or scattered lesion with a big ground-truth bounding-box so IoBB is used.

Actually I am also looking for a strict definition of IoBB since when I calculated the IoU from my result, it was quite different from the reference result where used IoBB instead of IoU..

Answered by 정범준 on June 15, 2021

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