Question / confusion about YOLO

[ai_curious]

@aiai1

without giving any detail as to how this is actually accomplished

Quick question regarding YOLO algorithm

Here is a little more detail mapped specifically to the image in the OP. This grid is 3x3, with what appears to be 2 anchor boxes (one taller-than-wide, one wider-than-tall). The YOLO-independent ground truth would have 2 labels, one for the person, one for the car. When converted to YOLO input for training, there would need to be 3 * 3 * 2 == 18 locations, each holding (1 + 4 + C) == 8 values; one for p_c, 2 each for bounding box location and shape, and C class indicators (as a one hot vecto…

Yet another example of how, actually, this is accomplished. YOLO is a step up in complexity from what has been covered previously in the lectures, hopefully these historical threads help clear things up a little.