Shypd.aiThe largest open index of AI toolsgroundingLMM is a Data & Analytics tool that generates natural language responses integrated with object segmentation masks. It is an open-source model capable of detailed region understanding and conversational abilities.
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About
Grounding Large Multimodal Model (GLaMM) is an end-to-end trained LMM designed for visual grounding, capable of processing both image and region inputs. It introduces the novel task of Grounded Conversation Generation (GCG), combining phrase grounding, referring expression segmentation, and vision-language conversations. GLaMM offers versatile interaction with visual inputs at multiple granularity levels, providing detailed region understanding and pixel-level groundings. The project also includes the GranD dataset, a large-scale, densely annotated dataset with 7.5 million unique concepts grounded in 810 million regions, each with a segmentation mask, and an automated annotation pipeline. It is open-source and available on GitHub.
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