SAMJ: Fast Image Annotation on ImageJ/Fiji via Segment Anything Model
This tool addresses a critical problem for biomedical researchers by providing an easy-to-use solution for image annotation, though it is incremental as it applies an existing model to a new domain.
The authors tackled the labor-intensive mask annotation bottleneck in biomedical image analysis by developing SAMJ, an ImageJ/Fiji plugin that leverages the Segment Anything Model to enable fast, interactive annotations, simplifying and accelerating dataset creation.
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.