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I know how IOU works during detection. However, while preparing targets from ground-truth for training, how is the IOU between a given object and all anchor boxes calculated?

Is the ground truth bounding box aligned with an anchor box such that they share the same center? (width/2, height/2)

I think this is the case but I want to hear from someone who has better knowledge of how training data is prepared for training in YOLO.

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    $\begingroup$ Can you perhaps provide a bit more context about the system you are talking about? $\endgroup$
    – Oliver Mason
    May 22, 2018 at 14:03
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    $\begingroup$ @OliverMason: Here's what I am talking about: pjreddie.com/darknet/yolo In order to train, I need to prepare the training data. One of the fields is 'objectiveness factor' which is defined as IOU between the actual bounding box and best-fitting anchor box. My question is: how are these two boxes aligned? $\endgroup$
    – nivter
    May 22, 2018 at 14:19

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My assumption was correct: the ground truth bounding box is aligned with an anchor box such that they share the same center

In other words, only the widths and heights are used to calculate the ground truth IOU.

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