---
license: mit
---

## SESAME_minus

- Model type: SESAME_minus is an open-source multimodal model trained by fine-tuning LLaVA on various instruction-based image grounding (segmentation) data. It is an instruction-baed segmentation model basically, serving as a baseline.
- Paper or resources for more information: https://see-say-segment.github.io/
- Where to send questions or comments about the model: https://github.com/see-say-segment/sesame/issues
- Intended use
  - Primary intended uses: The primary use of SESAME is research on large multimodal models and chatbots.
  - Primary intended users: The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence.
- Training dataset: RefCOCO(+/g)