index int64 0 6.45k ⌀ | episode_index int64 0 10 ⌀ | frame_index int64 0 939 ⌀ | timestamp float64 0 93.9 ⌀ | task_index int64 0 10 ⌀ | is_first bool 2
classes | is_last bool 2
classes | observation.pose listlengths 132 132 ⌀ | observation.hand_left listlengths 63 63 ⌀ | observation.hand_right listlengths 63 63 ⌀ | observation.action_label stringclasses 113
values | observation.mask_left_hand stringlengths 0 7.18k ⌀ | observation.mask_right_hand stringlengths 0 7.56k ⌀ | observation.mask_obj_left stringlengths 0 19.8k ⌀ | observation.mask_obj_right stringlengths 0 11.7k ⌀ | observation.mask_obj_both stringlengths 0 14.1k ⌀ | observation.contact_left bool 2
classes | observation.contact_right bool 2
classes | observation.contact_both bool 2
classes | observation.depth unknown | observation.hand3d_left listlengths 63 63 ⌀ | observation.hand3d_right listlengths 63 63 ⌀ |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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8 | 0 | 8 | 0.8 | 0 | false | false | [null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null(...TRUNCATED) | [0.4770689904689789,1.0004409551620483,0.0,0.516040027141571,1.0112930536270142,-0.00735200010240078(...TRUNCATED) | [null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null(...TRUNCATED) | unknown | "{\"counts\":\"ZQhk06`Q12O1O1O1O1O1O1O1O1N2O1N2N2O1O1O1O1O1O1O1O1O1O1N2O1N2N2O1N2O1O1O1O1O1O1O1N2N2O(...TRUNCATED) | "{\"counts\":\"joPS16^Q16J4N3O01O1N5K7Hm[j01QdUO8I;E5K5K4M4L4L3M1O1O1O2N1O100O2O00001O1O1O001O1O10O0(...TRUNCATED) | "{\"counts\":\"jVmg0i0jP18M0O100:AhU1OZjN:H;XoN_Oeo0T2UO9H8H5K4M3L3M3N2M3N1N3N1O1N3N1O1O1N2O1O2N1N2O(...TRUNCATED) | true | false | false | "iVBORw0KGgoAAAANSUhEUgAAAgYAAAIGEAAAAABaxMQ/AAAgAElEQVR4AVTBQcwlepoX5OcMkLiYXmhirBoTjdHulYuqBpd9QRL(...TRUNCATED) | [0.4770689904689789,1.0004409551620483,0.0,0.516040027141571,1.0112930536270142,0.004842000082135200(...TRUNCATED) | [null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null(...TRUNCATED) | ||
9 | 0 | 9 | 0.9 | 0 | false | false | [null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null(...TRUNCATED) | [0.46757200360298157,0.9893940091133118,0.0,0.5050659775733948,1.0036189556121826,-0.015840999782085(...TRUNCATED) | [0.6622920036315918,0.9366040229797363,0.0,0.6392269730567932,0.9459149837493896,-0.0288249999284744(...TRUNCATED) | unknown | "{\"counts\":\"ba^k06aQ11N2O1O1O1O1O1O1O1N2N2N2O1N2O1O1O1N2O1N2O1N2O1N2O1O1O1N2O1O1O1N2N2O1N2N2N2O1N(...TRUNCATED) | "{\"counts\":\"m`[S17]Q17J8H8J3L4M3M2N3N2M2N4L3M3M3M3M1O2O0O1O1O2N10001O0O110O001O001O001O001O010O00(...TRUNCATED) | false | false | false | "iVBORw0KGgoAAAANSUhEUgAAAgYAAAIGEAAAAABaxMQ/AAAgAElEQVR4AVzBX6zm+X0f9NcvUCSCq1a58o4qOYUEoYgius8DJCr(...TRUNCATED) | [0.46757200360298157,0.9893940091133118,0.0,0.5050659775733948,1.0036189556121826,0.0133309997618198(...TRUNCATED) | [0.6622920036315918,0.9366040229797363,0.0,0.6392269730567932,0.9459149837493896,0.02015700004994869(...TRUNCATED) |
End of preview. Expand in Data Studio
EgoVista Pilot v0.2
First-person (egocentric) annotations dataset of human daily-life manipulation activities, generated by the EgoVista pipeline.
What is in this dataset
This is an annotations-only release. RGB video frames are not included. Per-frame annotations cover:
- 2D pose keypoints (full body)
- 2D and 3D hand keypoints
- 16-bit depth maps (Depth Anything V2)
- Hand and object segmentation masks (EgoHOS, RLE COCO)
- Contact flags (left/right/both hands)
- Action labels (verb + object, generated by Gemini 2.5 Pro)
Overview
- 11 episodes, 6,448 frames, ~10.7 minutes of source footage at 10 fps
- Format: LeRobot v3.0 (Parquet + metadata)
- Source resolution: 1920x1080 (RGB videos retained privately)
- Robot type:
human_egocentric - Anonymization: faces automatically blurred at acquisition (MediaPipe Face Detection)
- Activities: scenes of daily life (kitchen, household, packing, light tasks)
Annotations per frame
| Layer | Description |
|---|---|
observation.pose |
2D pose keypoints (full body, MediaPipe) |
observation.hand_left / observation.hand_right |
2D hand keypoints (21 per hand, MediaPipe Hands) |
observation.hand3d_left / observation.hand3d_right |
3D hand keypoints (depth-augmented) |
observation.depth |
16-bit depth map (Depth Anything V2 Small) |
observation.mask_* |
Segmentation masks: left/right hand, objects (EgoHOS RLE COCO) |
observation.contact_* |
Boolean contact flags: left/right hand, both |
observation.action_label |
Verb+object action descriptor (Gemini 2.5 Pro) |
Episode summary
| Episode | Frames |
|---|---|
| 0 | 295 |
| 1 | 616 |
| 2 | 567 |
| 3 | 539 |
| 4 | 940 |
| 5 | 474 |
| 6 | 385 |
| 7 | 843 |
| 8 | 594 |
| 9 | 515 |
| 10 | 680 |
Pipeline & data residency
- Inference: RunPod EU + Google Vertex AI europe-west4
- Storage: Cloudflare R2 (EU)
- All processing within the EU.
Status
This is a pilot release (v0.2). The schema is stable. Future versions will increase the number of episodes and may include grouped task labels.
Access to RGB videos
The original RGB videos are not included in this public release for privacy reasons. They can be made available under a research data sharing agreement (NDA).
If you would like access to the RGB videos, or want to discuss a custom dataset for your lab, contact: contact@egovista.app
License
CC-BY-NC 4.0 — non-commercial use only. Contact the author for commercial licensing.
Author
Leonard Docquier — built with the EgoVista annotation pipeline.
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