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

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    $\begingroup$ Can you give a reference that uses "intersection over bounding box"? Googling the exact term returns no result. $\endgroup$
    – user12075
    Sep 28 '18 at 22:48
  • $\begingroup$ The two answers here have nice explanations. There isn't a big difference between the two. We are strictly talking about bounding boxes in the latter, but it uses the same principle. $\endgroup$
    – n1k31t4
    Sep 29 '18 at 5:52
  • $\begingroup$ For reference, you can see the following paper: title={Chestx-ray8: Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases}, author={Wang, Xiaosong and Peng, Yifan and Lu, Le and Lu, Zhiyong and Bagheri, Mohammadhadi and Summers, Ronald M}, booktitle={Computer Vision and Pattern Recognition (CVPR), 2017 IEEE Conference on}, pages={3462--3471}, year={2017}, organization={IEEE} $\endgroup$ Oct 2 '18 at 12:37
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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.

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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..

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