Computer Vision Using Deep Learning by Vaibhav Verdhan

Author:Vaibhav Verdhan
Language: eng
Format: epub
ISBN: 9781484266168
Publisher: Apress

IoU = Overlapping region/Combined entire region  (Equation 5-1)

So, if we get a higher value of Intersection over Union, it means the overlap is better. Hence, the prediction is more accurate and better. It is depicted in the example in Figure 5-5 to visualize.

Figure 5-5IoU values for different positions of the overlapping blocks. If the value is closer to 1.0, it means that the detection is more accurate as compared to the value of 0.15

As we can see in Figure 5-5, for IoU of 0.15, there is very less overlap between the two boxes as compared to 0.85 or 0.90. It means that the one with 0.85 IoU is a better solution to the one with 0.15 IoU. The detection solution can hence be compared directly.

Intersection over Union allows us to measure and compare the performance of various solutions. It also makes it easier for us to distinguish between useful bounding boxes and not-so-important ones. Intersection over Union is an important concept with wide usages. Using it, we can compare and contrast the acceptability of all the possible solutions and choose the best one from them.

We will now study non-max suppression techniques which are useful to filter significant bounding boxes.

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