Image Segmentation
A computer vision task that assigns a label to every pixel in an image, dividing it into meaningful regions. It identifies not just what objects are present but their exact shapes and boundaries.
Why It Matters
Image segmentation enables precise understanding of scenes — essential for medical imaging (tumor boundaries), autonomous driving (road vs. sidewalk), and augmented reality.
Example
A medical imaging AI outlining the exact boundary of a tumor in a CT scan, pixel by pixel, allowing surgeons to precisely measure its size and plan surgery.
Think of it like...
Like coloring in a detailed coloring book — instead of just identifying 'there is a tree,' segmentation outlines exactly which pixels belong to the tree.
Related Terms
Computer Vision
A field of AI that trains computers to interpret and understand visual information from the world — images, videos, and real-time camera feeds. It enables machines to 'see' and make decisions based on what they see.
Object Detection
A computer vision task that identifies and locates specific objects within an image or video, providing both the object class and its position (usually as a bounding box).