--- license: other license_name: fair-noncommercial-research-license-v1 license_link: https://huggingface.co/datasets/Rice-RobotPI-Lab/egoinfinity/blob/main/LICENSE-Action100M pretty_name: EgoInfinity tags: - egocentric - hand-tracking - 3d-scene - video - action-recognition - derivative-of-action100m --- # EgoInfinity Dataset Derivative scene assets for a curated subset of [Action100M] (Meta FAIR) clips. Used as the data backend for the [EgoInfinity Browser](https://huggingface.co/spaces/Rice-RobotPI-Lab/egoinfinity) Space. [Action100M]: https://github.com/facebookresearch/Action100M ## Contents ``` samples/ ├── index.json # browse-time episode list (consumed by the Space) └── / ├── scene.json # camera intrinsics, object metadata, durations ├── signals.json # per-frame action signals (timeseries) ├── thumb.jpg # 320×180 preview rendered from depth ├── depth.mp4 # MoGe-2 depth, inferno colormap (854×480) ├── flow.mp4 # MEMFOF optical flow visualization ├── mask.mp4 # SAM-tracked object mask cutout ├── recording.viser # full 3D scene (point cloud + meshes + hands) ├── hand_joints.bin # (T, H, 21, 3) float32 — 3D joint positions ├── hand_verts.bin # (T, H, 778, 3) float32 — baked MANO vertices ├── hand_faces.bin # (F, 3) uint16 — MANO topology └── hand_meta.json # bone connectivity + helper metadata ``` `` is `__`. The only original YouTube pixels that appear in this repository are inside the SAM-tracked object region of `mask.mp4` (everything outside the mask is painted black); no full source frames are redistributed. ## License This dataset is released under the FAIR Noncommercial Research License v1 (see [LICENSE-Action100M](LICENSE-Action100M)) for **noncommercial research use only**. Per Section 1.b.ii, redistribution must include a copy of this license file. ### Attribution - **Source clips** are from [Action100M] (Meta FAIR). Full source videos remain on YouTube; only the SAM-tracked region appears in `mask.mp4` as a per-frame cutout. - **Depth maps** were generated using MoGe-2. - **Optical flow** was computed using MEMFOF. - **Object segmentation** uses Meta SAM-3 / SAM-3D. - **Hand parameters** were estimated using a WiLoR-based pipeline. Vertex positions are baked from the MANO model (Romero et al., 2017); MANO weights are not redistributed. ## Citation ```bibtex @misc{egoinfinity2026, title = {EgoInfinity: TBD}, author = {Rice Robot Perception \& Intelligence Lab}, year = {2026}, note = {Preview release} } ```