Throughout the history of art, the pose—as the holistic abstraction of the human body's expression—has proven to be a constant in numerous studies. However, due to the enormous amount of data that so far had to be processed by hand, its crucial role to the formulaic recapitulation of art-historical motifs since antiquity could only be highlighted With the Poses of People in Art data set, we introduce the first openly licensed data set for estimating human poses in art and validating human pose estimators. It consists of 2,454 images from 22 art-historical depiction styles, including those that have increasingly turned away from lifelike representations of the body since the 19th century. Each image annotation, in addition to mandatory fields, provides metadata from the art-historical online encyclopedia WikiArt.
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…This dataset is above 20 times larger than PASCAL3D+ and KITTI, the current state-of-the-art.
17 PAPERS • 14 BENCHMARKS
Falling Things (FAT) is a dataset for advancing the state-of-the-art in object detection and 3D pose estimation in the context of robotics.
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…The images were obtained by running a state-of-the-art person detector on every tenth frame of 30 movies.
45 PAPERS • 2 BENCHMARKS
…With its realistic and diverse dataset, SportsPose provides a valuable resource for advancing the state-of-the-art in pose estimation in sports
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