Cleaning multiple toilet bowls
48 actions18 skillsMCAP 4.6 GB
Real-world egocentric data recorded on the job: egocentric and wrist video, depth, IMU, hand pose and frame-level action labels in one MCAP per clip. Free to use with attribution.
120.4 h5,392 clips12 categories7.3 TBCC-BY-4.0
25 clips
48 actions18 skillsMCAP 4.6 GB
9 actions16 skillsMCAP 1.1 GB
44 actions23 skillsMCAP 6.5 GB
21 actions39 skillsMCAP 2.7 GB
44 actions21 skillsMCAP 5.6 GB
3 actions9 skillsMCAP 368 MB
2 actions5 skillsMCAP 299 MB
6 actions5 skillsMCAP 560 MB
35 actions14 skillsMCAP 8.5 GB
17 actions14 skillsMCAP 2.0 GB
36 actions32 skillsMCAP 3.4 GB
32 actions24 skillsMCAP 4.4 GB
24 actions29 skillsMCAP 2.1 GB
22 actions11 skillsMCAP 4.4 GB
12 actions10 skillsMCAP 2.6 GB
14 actions13 skillsMCAP 3.3 GB
6 actions9 skillsMCAP 685 MB
14 actions10 skillsMCAP 1.8 GB
5 actions12 skillsMCAP 537 MB
11 actions6 skillsMCAP 3.7 GB
2 actions8 skillsMCAP 440 MB
9 actions9 skillsMCAP 1.7 GB
9 actions14 skillsMCAP 2.4 GB
6 actions5 skillsMCAP 3.1 GB
| Topic | Schema | Rate |
|---|---|---|
| /action | tad_msgs/msg/ActionPhase | 30 Hz |
| /ego/zed_head/depth/camera_info | sensor_msgs/msg/CameraInfo | 30 Hz |
| /ego/zed_head/depth/image/compressed | sensor_msgs/msg/CompressedImage | 30 Hz |
| /ego/zed_head/imu/data | sensor_msgs/msg/Imu | 199.8 Hz |
| /ego/zed_head/left/camera_info | sensor_msgs/msg/CameraInfo | 30 Hz |
| /ego/zed_head/left/image/compressed | foxglove.CompressedVideo | 30 Hz |
| /ego/zed_head/odom | nav_msgs/msg/Odometry | 30 Hz |
| /ego/zed_head/right/camera_info | sensor_msgs/msg/CameraInfo | 30 Hz |
| /ego/zed_head/right/image/compressed | foxglove.CompressedVideo | 30 Hz |
| /hands/left/detected | std_msgs/msg/Bool | 30 Hz |
| /hands/left/keypoints | visualization_msgs/msg/MarkerArray | 30 Hz |
| /hands/left/odom | nav_msgs/msg/Odometry | 30 Hz |
| /hands/right/detected | std_msgs/msg/Bool | 30 Hz |
| /hands/right/keypoints | visualization_msgs/msg/MarkerArray | 30 Hz |
| /hands/right/odom | nav_msgs/msg/Odometry | 30 Hz |
| /tf | tf2_msgs/msg/TFMessage | 30 Hz |
| /tf_static | tf2_msgs/msg/TFMessage | 2.9 Hz |
| /wrist_left/image/camera_info | sensor_msgs/msg/CameraInfo | 30 Hz |
| /wrist_left/image/compressed | foxglove.CompressedVideo | 30 Hz |
| /wrist_left/imu/data | sensor_msgs/msg/Imu | 199.4 Hz |
| /wrist_right/image/camera_info | sensor_msgs/msg/CameraInfo | 30 Hz |
| /wrist_right/image/compressed | foxglove.CompressedVideo | 30 Hz |
| /wrist_right/imu/data | sensor_msgs/msg/Imu | 200 Hz |
EgoViz-120 is 7.3 TB, served from a public Hugging Face Storage Bucket. Start with the index: one row per clip with category, title, skills, objects and paths, before you download any video.
pip install -U huggingface_hub
hf auth login
B=hf://buckets/humaidtech/EgoViz-120
hf buckets cp $B/index.parquet index.parquethf sync $B/data/cleaning_kitchen ./cleaning_kitchenhf sync $B/data ./egoviz --include "*.mp4" --include "*.json"@misc{egoviz120_2026,
title = {EgoViz-120: 120 Hours of Synchronized Real-World Egocentric Data},
author = {Humaid Tech Inc.},
year = {2026},
publisher = {Hugging Face},
howpublished = {\url{https://huggingface.co/datasets/humaidtech/EgoViz-120}}
}