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aryan56789gridai/grid-egocentric-residential-samples

Grid Egocentric Residential Samples Preview pack of ego-centric residential task recordings from Grid AI. Three full-length samples covering household manipulation tasks, released for buyer evaluation of capture quality, framing, and task coverage. Capture specifications Property Value Resolution 1920 × 1080 (1080p) Frame rate 30 fps (constant) Codec H.265 / HEVC Avg bitrate ~8 Mbps Container MP4 Viewpoint Ego-centric (first-person) Domain… See the full description on the dataset page: https://huggingface.co/datasets/aryan56789gridai/grid-egocentric-residential-samples.

sourceHugging Facecc-by-4.0updated 3mo agoView on Hugging Face

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Dataset Card

Grid Egocentric Residential Samples

Preview pack of ego-centric residential task recordings from Grid AI. Three full-length samples covering household manipulation tasks, released for buyer evaluation of capture quality, framing, and task coverage.

Capture specifications

Property	Value
Resolution	1920 × 1080 (1080p)
Frame rate	30 fps (constant)
Codec	H.265 / HEVC
Avg bitrate	~8 Mbps
Container	MP4
Viewpoint	Ego-centric (first-person)
Domain	Residential / household tasks

All three samples were captured with a head-mounted camera in real residential environments. No post-production cropping, stabilization, or color grading is applied — what you see is the raw capture stream.

Samples

#	File	Duration	Task
1	`Cleaning Doormat.mp4`	30 min 27 s	Cleaning Doormat — clean a residential doormat from start to finish.
2	`Arrange outdoor furniture.mp4`	5 min 24 s	Arrange outdoor furniture — set up and position outdoor furniture in a residential setting.
3	`Rearranging and cleaning furniture.mp4`	19 min 43 s	Rearranging and cleaning furniture — rearrange and clean indoor furniture across multiple rooms.

Each video covers one continuous take of the named task, with the operator performing the activity end-to-end. Task name = filename.

Intended use

These samples are intended as a quality reference for evaluating Grid's broader ego-centric residential dataset, which is designed for Vision-Language-Action (VLA) and imitation-learning training. The full dataset includes synchronized IMU and additional modalities — this preview pack is video-only.

License

Released under CC-BY-4.0. You may use, share, and adapt with attribution to Grid AI.

Contact

For full dataset access or commercial licensing inquiries: aryan@gridai.co.in