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

Object detection involves identifying and locating multiple objects within an image, typically by drawing bounding boxes around them. Semantic segmentation, on the other hand, assigns a class label to each pixel in an image, effectively segmenting the image into different regions based on the objects present. The key difference is that object detection focuses on identifying individual objects, while semantic segmentation provides a more detailed understanding of the image by labeling each pixel.