Dataset > Modality > Images > COCO-Stuff (Common Objects in COntext-stuff)

COCO-Stuff (Common Objects in COntext-stuff)

Introduced by Caesar et al. in COCO-Stuff: Thing and Stuff Classes in Context

The Common Objects in COntext-stuff (COCO-stuff) dataset is a dataset for scene understanding tasks like semantic segmentation, object detection and image captioning. It is constructed by annotating the original COCO dataset, which originally annotated things while neglecting stuff annotations. There are 164k images in COCO-stuff dataset that span over 172 categories including 80 things, 91 stuff, and 1 unlabeled class.

Source: Image Colorization: A Survey and Dataset

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