COCO-Stuff (COCO 2017 Stuff) augments the MS COCO dataset with dense pixel-wise annotations for "stuff" classes (amorphous background regions like sky, grass, road). The COCO-Stuff v2 release annotates all ~164K images in the COCO 2017 collection with 91 stuff classes (in addition to the 80 COCO thing classes), enabling large-scale semantic segmentation and scene-understanding research focused on stuff/thing interactions and context. The annotations were produced with an efficient superpixel-based protocol that leverages COCO thing masks. (Original COCO dataset: arXiv:1405.0312; COCO-Stuff paper/announcement: arXiv:1612.03716 / CVPR 2018.)
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