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Eidon Tracker POV

1,274 hours and 13,451 recordings of head-mounted video of household chores in 27 contributors' homes, with 7-point arm IMU; CC BY 4.0.

Published by Eidon AI (Solidic Labs Inc), 2026-09

Open data
Commercial use OK

CC BY 4.0

PriceFree

The publisher's licence permits commercial use and redistribution, with attribution. Card states: Use it for anything, including commercially. Attribution required. Contributors consented in writing to research, commercial use and redistribution. Same licence on the IMU companion repo.

Get dataset Opens huggingface.co in a new tab
From a terminal
hf download eidon-ai/tracker-pov --repo-type dataset --include recordings/metadata.parquet --local-dir ./tracker-pov

Public, no gate. 9.05 TB of MP4 in recordings/data/000 to 013; the command pulls the metadata table so recordings can be filtered by task and qc_status first. IMU in eidon-ai/tracker-pov-imu (9.5 GB). A further 305.7 hours of video without sensor data sits in the HF bucket eidon-ai/egocentric-pov and is not counted here. The publisher no longer operates.

Specification, as published

Hours (stated)
1,274 h
Episodes (stated)
13,451 episodes
Scale
1,274 hours of egocentric video paired with 7-point IMU arm tracking, recorded during ordinary household work
Task
Laundry & folding, Cleaning, Dishwashing, Cooking & food prep, Tidying & put-away, Gardening & outdoor chores +1 more
Environment
Indoor – home
Modality
RGB, IMU
Capture
Egocentric
In frame
Person hands
Captured in
Undisclosed
Embodiment
human
Frame rate
30 fps
Resolution
1080p to 4K
Formats
MP4, Parquet
Size
9.05 TB video plus 9.5 GB IMU
Hosted on
Hugging Face

Figures are the publisher's own. Kinetic Blocks has not measured this dataset.

About this dataset

A final release from Eidon AI, which has wound down: contributors wore a head-mounted camera and a seven-sensor IMU harness (both hands, forearms, upper arms and the chest, 24 Hz) while doing real chores in their own homes. Folding laundry is 67.5 percent of hours, then cleaning, dishes, cooking, drawing, knitting, making the bed, watering plants and organising. Video is MP4 from 1080p to 4K, mostly 30 fps, with per-recording QC status (11,841 valid, 1,138 flagged, 472 invalid, all included and labelled). The IMU streams sit in the companion repo eidon-ai/tracker-pov-imu, joined on recording_id. The card says faces and interiors were not blurred and recommends splitting by contributor, since 27 people recorded everything.

Publisher's own task names: folding_laundry, cleaning, doing_the_dishes, cooking, drawing, knitting, making_the_bed, watering_plants, organizing.

What Kinetic Blocks did, and did not do

Indexed and linked from the publisher. Not hosted, verified or graded by Kinetic Blocks. The publisher's terms govern. The licence shown is the one stated on the publisher's page, linked above. Nothing on this page is a claim by Kinetic Blocks.

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