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.
Cite
@article{arxiv.2506.02783,
title = {SAMJ: Fast Image Annotation on ImageJ/Fiji via Segment Anything Model},
author = {Carlos Garcia-Lopez-de-Haro and Caterina Fuster-Barcelo and Curtis T. Rueden and Jonathan Heras and Vladimir Ulman and Daniel Franco-Barranco and Adrian Ines and Kevin W. Eliceiri and Jean-Christophe Olivo-Marin and Jean-Yves Tinevez and Daniel Sage and Arrate Munoz-Barrutia},
journal= {arXiv preprint arXiv:2506.02783},
year = {2025}
}