What is image segmentation? - Python Tutorial

- [Instructor] Image segmentation is a process of partitioning an image into multiple regions or segments where each region corresponds to a specific object or part of an object. Unlike object detection, which draws bounding boxes around objects, segmentation provides pixel level classification, allowing for more precise understanding of object shapes and boundaries. For example, given an image of a cat and a dog, image segmentation can tell us which exact pixels belong to the dog, which belong to the cat, and which belong to the background. There are two common approaches to image segmentation. The first is "Semantic Segmentation". In semantic segmentation, we classify each pixel into a category without differentiating individual object instances. If there are two cats in an image for instance, semantic segmentation maps the pixels to a single cat's category. Unlike semantic segmentation, "Instant Segmentation" treats each object instance separately. For example, given the same image…