Technology
A Beginner's Guide to Semantic Image Segmentation in 2025
Semantic image segmentation is an evolving technique in computer vision that classifies each pixel of an image into distinct categories. This beginner's guide explains the basics of semantic image segmentation, its differences from instance segmentation, and its wide-ranging applications such as in autonomous vehicles, medical imaging, and virtual reality. By 2025, advancements in AI and machine learning, including models like DeepLab and U-Net, have significantly improved the precision, speed, and efficiency of semantic segmentation tasks, making them a fundamental tool in data analysis and machine learning projects.
YHY Huang•
##Data Annotation##Datasets##Semantic Segmentation##Image Segmentation##Beginner
