7 – 07 Too Many Boxes V2

One of the problems with this grid-based method for object detection is that a trained CNN, when faced with a new test image will often produce multiple grid cell vectors that are all trying to detect the same object. This means lots of output vectors that all contain slightly different bounding boxes for the same object. To account for this, we use a technique called non-maximal suppression which tries to find the bounding box that best matches an object in an image. Next, we’ll learn how it finds the best box in a group.

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