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SAMJ: Fast Image Annotation on ImageJ/Fiji via Segment Anything Model

3 June 2025
Carlos Garcia-Lopez-de-Haro
Caterina Fuster-Barcelo
Curtis T. Rueden
Jonathan Heras
Vladimir Ulman
Daniel Franco-Barranco
Adrian Ines
Kevin W. Eliceiri
Jean-Christophe Olivo-Marin
Jean-Yves Tinevez
Daniel Sage
A. Muñoz-Barrutia
    VLM
ArXiv (abs)PDFHTML
Main:13 Pages
4 Figures
Bibliography:2 Pages
3 Tables
Abstract

Mask annotation remains a significant bottleneck in AI-driven biomedical image analysis due to its labor-intensive nature. To address this challenge, we introduce SAMJ, a user-friendly ImageJ/Fiji plugin leveraging the Segment Anything Model (SAM). SAMJ enables seamless, interactive annotations with one-click installation on standard computers. Designed for real-time object delineation in large scientific images, SAMJ is an easy-to-use solution that simplifies and accelerates the creation of labeled image datasets.

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