A Bounding Box is a rectangular box drawn around an object of interest in an image, defined by the object�??s extreme coordinates (usually the $x,y$ of the top-left corner and the width and height)�??. It serves as a simple shape descriptor for localization tasks: the box �??bounds�?ť the object, indicating its position and size. In computer vision, bounding boxes are used during object detection (the model predicts a box around detected objects along with class labels) and in image annotation (human labelers draw boxes on objects to create training data). The box is typically aligned with the image axes (axis-aligned rectangle) and is tight, meaning it just encloses the entirety of the object while including minimal background�??. While a bounding box doesn�??t capture an object�??s exact shape (especially for irregular or rotated objects), it is computationally convenient and is the common output for many detection algorithms (like YOLO, Faster R-CNN). In summary, a bounding box provides a coarse localization of an object within an image for further processing or evaluation�??.