# What is Image Segmentation? Definition & Technical Mechanics

> **Source:** [SPIDITS AI AI Glossary](https://spidits.com/ai-glossary)  
> **Category:** Computer Vision  
> **Canonical Citation:** [https://spidits.com/ai-glossary/image-segmentation](https://spidits.com/ai-glossary/image-segmentation)

## Definition
Image Segmentation is a computer vision process of partitioning a digital image into multiple segments (sets of pixels), assigning a label to every pixel to outline exact boundaries of objects.

## Architectural Mechanics & Deep Dive
Image segmentation is a computer vision process that partitions a digital image into multiple segments or regions, assigning a label to every pixel to identify object boundaries and regions of interest. It is categorized into semantic segmentation (grouping pixels by object class) and instance segmentation (identifying individual distinct objects within a class), widely used in autonomous driving and medical imaging scans.

## Industry Applications & Real-World Use Cases
Self-driving car path tracing, medical tumor boundary outlines, and video background removal.

## Frequently Asked Questions

### What is semantic vs. instance segmentation?
Semantic segmentation groups all objects of a class (e.g. all cars) as a single outline. Instance segmentation distinguishes each individual car as a separate boundary.

### What neural network architecture is famous for image segmentation?
U-Net, which uses an encoder-decoder structure with skip connections, particularly popular in medical imaging.

## Related Terminology
- [computer-vision](https://spidits.com/ai-glossary/computer-vision)
- [cnn](https://spidits.com/ai-glossary/cnn)
- [deep-learning](https://spidits.com/ai-glossary/deep-learning)

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*From the SPIDITS AI Knowledge Base (336+ terms indexed). Explore full technical definitions: [https://spidits.com/ai-glossary](https://spidits.com/ai-glossary)*