Datasets › First-Person Hand Action Benchmark

First-Person Hand Action Benchmark

Introduced by Guillermo Garcia-Hernando et al. in First-Person Hand Action Benchmark with RGB-D Videos and 3D Hand Pose Annotations archive 2025-07-28

First-Person Hand Action Benchmark is a collection of RGB-D video sequences comprised of more than 100K frames of 45 daily hand action categories, involving 26 different objects in several hand configurations.

Source: First-Person Hand Action Benchmark with RGB-D Videos and 3D Hand Pose Annotations

Benchmarks archive 2025-07-28

All 2 leaderboards 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
Skeleton Based Action Recognition First-Person Hand Action Benchmark TCN-Summ 1:3 Accuracy 92.9 Domain and View-point Agnostic Hand Action Recognition AlbertoSabater/Domain-and-View-point-Agnostic-Hand-Action-Recognition 4 Compare
Activity Recognition First-Person Hand Action Benchmark Boutaleb et al. 1:1 Accuracy 97.91 Multi-stage RGB-based Transfer Learning Pipeline for... — 1 Compare

Papers archive 2025-07-28

5 shown of 5 papers 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 15. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

Custom (research-only, non-commercial)

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • First-Person Hand Action Benchmark

1 variant name, as the archive lists them.

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