Home / Companies / Roboflow / Blog / Post Details
Content Deep Dive

Top 5 Use Cases for Segment Anything Model (SAM)

Blog post from Roboflow

Post Details
Company
Date Published
Author
James Gallagher
Word Count
1,053
Language
English
Hacker News Points
-
Summary

Meta AI's Segment Anything Model (SAM), launched in April 2023 and followed by updates in 2024 and 2025, is a zero-shot image segmentation tool that detects and segments objects in images and videos. SAM can generate segmentation masks from input images or videos, which can be used with additional models, such as image-to-text models, for various applications. Available through Roboflow Annotate for image annotation tasks, SAM offers capabilities such as assisted image labeling, zero-shot labeling, background removal, inpainting, and synthetic data generation. These features allow users to annotate images more precisely and efficiently, providing solutions like changing backgrounds, modifying object colors, or creating customized datasets. SAM's accuracy in identifying object boundaries makes it particularly useful for inpainting tasks and generating synthetic data to train models better suited for specific environments. As SAM's potential continues to be explored, it promises further integration with generative AI and computer vision applications, offering significant advancements in image annotation and model training.