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

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.

@article{garcia-lopez-de-haro2025_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 }
}