What are the key differences between object detection and segmentation in the field of computer vision?

Object detection involves identifying and locating objects within an image, typically by drawing bounding boxes around them. Segmentation, on the other hand, involves precisely outlining the boundaries of each object in the image, pixel by pixel. In essence, object detection focuses on identifying objects as a whole, while segmentation provides a more detailed understanding of object boundaries.