SpatialVLM
Empowering visual language models with spatial reasoning capabilities
Product Details
SpatialVLM is a visual language model developed by Google DeepMind that can understand and reason about spatial relationships. Through training on large-scale synthetic data, it acquires the ability to perform quantitative spatial reasoning intuitively like humans. This not only improves its performance on spatial VQA tasks, but also opens up new possibilities for downstream tasks such as chained spatial reasoning and robot control.
Main Features
Target Users
Spatial VQA, chained spatial reasoning, robot control
Examples
Determine which of two objects is closer to the camera
Estimate the horizontal distance between two objects
Determine whether an equilateral triangle is formed on the table
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