PACO (Parts and Attributes of Common Objects)
Introduced by Ramanathan et al. in PACO: Parts and Attributes of Common Objects
Parts and Attributes of Common Objects (PACO) is a detection dataset that goes beyond traditional object boxes and masks and provides richer annotations such as part masks and attributes. It spans 75 object categories, 456 object-part categories and 55 attributes across image (LVIS) and video (Ego4D) datasets. The dataset contains 641K part masks annotated across 260K object boxes, with half of them exhaustively annotated with attributes as well.
Source: PACO: Parts and Attributes of Common ObjectsPapers
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