Table 1 Comparison of existing 3D action localization datasets
From: Localization and recognition of human action in 3D using transformers
Datasets | Classes | Sequences | Instances | Subjects | Modalities | Year | Duration |
|---|---|---|---|---|---|---|---|
G3D46 | 20 | 210 | 1467 | 10 | RGB, D, S | 2012 | — |
CAD-12076 | 20 | 120 | ~1200 | 4 | RGB, D, S | 2013 | — |
Comp. Act49. | 16 | 693 | 2529 | 14 | RGB, D, S | 2014 | — |
Watch-N-Patch48 | 21 | 458 | ~ 2500 | 7 | RGB, D, S | 2015 | 230 min |
OAD77 | 10 | 59 | ~ 700 | — | RGB, D, S | 2016 | 216 min |
PKU-MMD32 | 51 | 1076 | 21545 | 66 | RGB, D, IR, S | 2017 | 3000 min |
Wei et al.51 | 35 | 201 | — | — | RGB, D, S | 2020 | — |
BABEL-TAL-20 | 20 | 5727 | 6244 | 346 | 3D Mesh, S | 2024 | — |
BABEL-TAL-60 | 60 | 6808 | 7332 | 584 | 3D Mesh, S | 2024 | — |
BABEL-TAL-ALL | 102 | 8808 | 9617 | 925 | 3D Mesh, S | 2024 | 2580 min |
