05 - Image Segmentation: Semantic, Instance, Panoptic

Complete guide to Image Segmentation: Semantic, Instance, Panoptic: architecture, practical implementation and best practices for developers and technical teams.

What you'll learn

• 1.1 Types of Segmentation
• 1.2 Evaluation Metrics
• 2.1 U-Net Architecture
• 2.2 Dice Loss and Training Loop
• 3.1 SAM Architecture

This article is part of the Computer Vision series on federicocalo.dev.

Read the full article

The complete article (16 min read) with code examples, diagrams, and practical exercises is available here:

➡️ 05 - Image Segmentation: Semantic, Instance, Panoptic

https://federicocalo.dev/en/blog/image-segmentation-semantic-instance-panoptic

By Federico Calò — Software Developer & Technical Writer