PAD (Purpose-driven Affordance Dataset) is a dataset for affordance detection, which refers to identifying the potential action possibilities of objects in an image, which is an important ability for robot perception and manipulation. The dataset consists of 4K images from 31 affordance and 72 object categories.
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