Najmeddine Dhieb

Text-conditioned Segmentation for Tomato Phenotyping via Procedural Synthetic Data

Samy Mounir, Mikolaj Cieslak, Najmeddine Dhieb, Hakim Ghazzai, Jonathan Klein, Katja Froehlich, et al.

Vision-based automation is an excellent candidate for reducing manual labor in greenhouse crop production and phenotyping. However, progress is constrained by the lack of annotated training data. Recent advances in vision-based foundational models have shown promising results in…Read more