Segmentation
is the process of dividing data, images, or other inputs into meaningful groups or regions based on shared characteristics.
What is Segmentation?
In AI and machine learning, segmentation commonly refers to identifying and separating meaningful regions within an input. In computer vision, for example, segmentation assigns pixels to specific classes or instances, allowing a system to distinguish objects or areas within an image.
Why is Segmentation Important?
Segmentation helps AI systems understand the structure and components of complex inputs. It enables more precise analysis by separating relevant regions or groups and is often used as a foundational step in computer vision and data analysis workflows.
Common use cases
Segmentation is commonly used in medical imaging, autonomous vehicles, image analysis, object recognition, satellite imagery, and customer or data segmentation.