Datasets › UESTC RGB-D

UESTC RGB-D (UESTC RGB-D Varying-view action database)

Introduced by Yanli Ji et al. in A Large-scale Varying-view RGB-D Action Dataset for Arbitrary-view Human Action Recognition23 May 2018 archive 2025-07-28

UESTC RGB-D Varying-view action database contains 40 categories of aerobic exercise. We utilized 2 Kinect V2 cameras in 8 fixed directions and 1 round direction to capture these actions with the data modalities of RGB video, 3D skeleton sequences and depth map sequences.

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Human action generation UESTC RGB-D ODMO Accuracy 93.67 Action-conditioned On-demand Motion Generation roychowdhuryresearch/odmo 1 Compare

Papers archive 2025-07-28

1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 5. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
Action-conditioned On-demand Motion Generation 1 1 17 Jul 2022 not harvested

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

https://github.com/HRI-UESTC/CFM-HRI-RGB-D-action-database/blob/master/License%20Agreement.pdf

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • UESTC RGB-D

1 variant name, as the archive lists them.

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