Introduced in 3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding2021
3D AffordanceNet is a dataset of 23k shapes for visual affordance. It consists of 56,307 well-defined affordance information annotations for 22,949 shapes covering 18 affordance classes and 23 semantic object categories.
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