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+ license_link: https://huggingface.co/datasets/Rice-RobotPI-Lab/egoinfinity/blob/main/LICENSE-Action100M
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+ pretty_name: EgoInfinity
6
+ tags:
7
+ - egocentric
8
+ - hand-tracking
9
+ - 3d-scene
10
+ - video
11
+ - action-recognition
12
+ - derivative-of-action100m
13
+ ---
14
+
15
+ # EgoInfinity Dataset
16
+
17
+ Derivative scene assets for a curated subset of [Action100M] (Meta FAIR)
18
+ clips. Used as the data backend for the
19
+ [EgoInfinity Browser](https://huggingface.co/spaces/Rice-RobotPI-Lab/egoinfinity)
20
+ Space.
21
+
22
+ [Action100M]: https://github.com/facebookresearch/Action100M
23
+
24
+ ## Contents
25
+
26
+ ```
27
+ samples/
28
+ ├── index.json # browse-time episode list (consumed by the Space)
29
+ └── <clip_id>/
30
+ ├── scene.json # camera intrinsics, object metadata, durations
31
+ ├── signals.json # per-frame action signals (timeseries)
32
+ ├── thumb.jpg # 320×180 preview rendered from depth
33
+ ├── depth.mp4 # MoGe-2 depth, inferno colormap (854×480)
34
+ ├── flow.mp4 # MEMFOF optical flow visualization
35
+ ├── mask.mp4 # SAM-tracked object mask cutout
36
+ ├── recording.viser # full 3D scene (point cloud + meshes + hands)
37
+ ├── hand_joints.bin # (T, H, 21, 3) float32 — 3D joint positions
38
+ ├── hand_verts.bin # (T, H, 778, 3) float32 — baked MANO vertices
39
+ ├── hand_faces.bin # (F, 3) uint16 — MANO topology
40
+ └── hand_meta.json # bone connectivity + helper metadata
41
+ ```
42
+
43
+ `<clip_id>` is `<youtube_video_id>_<start_sec>_<end_sec>`. None of the
44
+ original YouTube pixels are stored in this repository.
45
+
46
+ ## License
47
+
48
+ This dataset is released under the FAIR Noncommercial Research License v1
49
+ (see [LICENSE-Action100M](LICENSE-Action100M)) for **noncommercial research
50
+ use only**. Per Section 1.b.ii, redistribution must include a copy of this
51
+ license file.
52
+
53
+ ### Attribution
54
+
55
+ - **Source clips** are from [Action100M] (Meta FAIR). Original videos remain
56
+ on YouTube and are not contained in this repository.
57
+ - **Depth maps** were generated using MoGe-2.
58
+ - **Optical flow** was computed using MEMFOF.
59
+ - **Object segmentation** uses Meta SAM-3 / SAM-3D.
60
+ - **Hand parameters** were estimated using a WiLoR-based pipeline. Vertex
61
+ positions are baked from the MANO model (Romero et al., 2017); MANO weights
62
+ are not redistributed.
63
+
64
+ ## Citation
65
+
66
+ ```bibtex
67
+ @misc{egoinfinity2026,
68
+ title = {EgoInfinity: TBD},
69
+ author = {Rice Robot Perception \& Intelligence Lab},
70
+ year = {2026},
71
+ note = {Preview release}
72
+ }
73
+ ```
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