JHMDB (Joint-annotated Human Motion Data Base)

Introduced by Hueihan Jhuang et al. in Towards Understanding Action Recognition

JHMDB is an action recognition dataset that consists of 960 video sequences belonging to 21 actions. It is a subset of the larger HMDB51 dataset collected from digitized movies and YouTube videos. The dataset contains video and annotation for puppet flow per frame (approximated optimal flow on the person), puppet mask per frame, joint positions per frame, action label per clip and meta label per clip (camera motion, visible body parts, camera viewpoint, number of people, video quality).

Source: Unsupervised Deep Metric Learning via Orthogonality based Probabilistic Loss

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Benchmarks

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Task	Dataset Variant	Best Model
Referring Expression Segmentation	J-HMDB	SgMg
Action Detection	J-HMDB	HIT
Skeleton Based Action Recognition	J-HMDB	Potion
Pose Estimation	J-HMDB	SimpleBaseline + HANet
Skeleton Based Action Recognition	JHMDB (2D poses only)	DD-Net
2D Human Pose Estimation	JHMDB (2D poses only)	DeciWatch
Skeleton Based Action Recognition	JHMDB Pose Tracking	mgPFF+ft 1st
Skeleton Based Action Recognition	J-HMBD Early Action	DR^2N