IoU
Intersection over Union is an evaluation metric used in object detection to measure the overlap between a predicted bounding box and the ground truth.
Think of It Like This
Like checking how perfectly a freshly placed sticker aligns with the faded outline of an old sticker on a laptop.
IoU is calculated by dividing the area of overlap by the area of union between the two bounding boxes. A score of 1.0 indicates perfect alignment, while 0.0 means no overlap at all. It is the standard thresholding metric used to determine whether a detection is a true positive or a false positive in computer vision tasks.