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HUMBI

A Large Multiview Dataset of Human Body Expressions

HUMBI

HUMBI is a large multiview dataset for human body expressions with natural clothing, captured by 107 GoPro HD cameras from 772 distinctive subjects at 60Hz. During capture, each subject was invited into the capture stage and performing a series of tasks for each expression session (i.e. gaze, face, hand, body) sequentially, guided by an instructinal video (about 2.5 minutes).HUMBI is organized in subject-session-frame-representation hierarchy, i.e. partitioned subject by subject first -> each subject contains 4 expression sessions -> each expression session contains a sequence of frames (time instances) -> each frame contains up to 4 representations: multiview images, 3D keypoints, 3D mesh and appearance maps. For data sharing, multiple subjects of a certain session are bundled together (appearance is bundled separately).

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Task
Human Pose Estimation
Annotation Types
Keypoint Skeleton
214000
Items
107
Classes
214000
Labels
Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
Unknown
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