groundingLMM vs civic-ai-tools
groundingLMM: GLaMM (Grounding Large Multimodal Model) is an end-to-end trained LMM capable of generating natural language responses integrated with object segmentation masks, enabling visual grounding and versatile interaction with images at multiple granularity levels. It introduces the novel task of Grounded Conversation Generation (GCG), supports various downstream applications like referring expression segmentation and region-level captioning, and is underpinned by the large-scale GranD dataset.; civic-ai-tools: Civic AI Tools connects AI assistants (GitHub Copilot, Cursor, Claude Code) to public datasets using the Model Context Protocol (MCP). It allows users to query NYC Open Data and Google Data Commons in plain English, generate visualizations, and compare statistics across cities. Built for civic technologists, government workers, journalists, and students.
TL;DR
Interactive visual assistants that understand and respond to user queries about specific image regions.
Ask questions about NYC 311 complaints, restaurant inspections, or housing violations in plain English
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