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license: mit |
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SESAME Model Card |
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Model details |
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Model type: SESAME is an open-source multimodal model trained by fine-tuning LLaVA on various instruction-based image grounding (segmentation) data. It is an auto-regressive language model plus a segmentation model. |
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Paper or resources for more information: https://see-say-segment.github.io/ |
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Where to send questions or comments about the model: https://github.com/see-say-segment/sesame/issues |
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Intended use |
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Primary intended uses: The primary use of SESAME is research on large multimodal models and chatbots. |
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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. |
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Training dataset: (FP-/R-)RefCOCO(+/g) + LLaVA 150K VQA data |
