Datasets:
Tasks:
Visual Question Answering
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
< 1K
ArXiv:
Tags:
Spatial Reasoning
License:
Update README.md
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README.md
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# 6-DoF SpatialBench
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Previous spatial perception LLMs mainly focused on operations of positional relationships, such as left-right, near-far, size, and counting, etc.
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In actual object manipulation, the orientation of the object is also a very important factor.
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Therefore, we proposed a new 6-DoF spatial perception benchmark dataset for evaluating the model's reasoning capabilities in position, orientation, and position-orientation relationships.
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# 6-DoF SpatialBench
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Paper_link: https://arxiv.org/abs/2502.13143
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<br>
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Project Page: https://qizekun.github.io/sofar/
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<br>
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Github Code: https://github.com/qizekun/SoFar
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Previous spatial perception LLMs mainly focused on operations of positional relationships, such as left-right, near-far, size, and counting, etc.
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In actual object manipulation, the orientation of the object is also a very important factor.
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Therefore, we proposed a new 6-DoF spatial perception benchmark dataset for evaluating the model's reasoning capabilities in position, orientation, and position-orientation relationships.
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