juletx/spatial-reasoning
Grounding Language Models for Compositional and Spatial Reasoning
This project evaluates and enhances AI models' ability to understand spatial relationships between objects described in text, especially when multiple objects are involved. It takes text descriptions (like "a person stands and a dog sits") and visual data to determine if the AI can accurately grasp complex spatial and compositional nuances. Researchers and AI developers working on improving the spatial intelligence of language models would find this valuable.
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Use this if you are a researcher or AI developer working to improve how AI understands and represents spatial and compositional relationships from language and images.
Not ideal if you are looking for an end-user application to directly process images or text for everyday spatial analysis without deep AI model development.
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18
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3
Language
Jupyter Notebook
License
MIT
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Last pushed
Oct 26, 2022
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