SK-LARGE
Introduced by Shen et al. in DeepSkeleton: Learning Multi-task Scale-associated Deep Side Outputs for Object Skeleton Extraction in Natural Images
SK-LARGE is a benchmark dataset for object skeleton detection, built on the MS COCO dataset. It contains 1491 images, 746 for training and 745 for testing.
Source: DeepFlux for Skeletons in the WildBenchmarks
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SK-LARGE
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Papers
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