The MS COCO (Microsoft Common Objects in Context) dataset is a large-scale object detection, segmentation, key-point detection, and captioning dataset. The dataset consists of 328K images.
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One-Shot Affordance Part Segmentation variant of the UMD dataset. Each object instance in the dataset contains a single image.
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