Cleaning bathroom surfaces and floor
32 actions19 skillsMCAP 3.7 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
264 clips
32 actions19 skillsMCAP 3.7 GB
105 actions40 skillsMCAP 11.6 GB
17 actions17 skillsMCAP 2.1 GB
21 actions23 skillsMCAP 2.3 GB
6 actions15 skillsMCAP 988 MB
146 actions40 skillsMCAP 32.7 GB
17 actions28 skillsMCAP 1.9 GB
29 actions38 skillsMCAP 2.9 GB
14 actions13 skillsMCAP 1.8 GB
69 actions34 skillsMCAP 10.0 GB
54 actions40 skillsMCAP 7.4 GB
2 actions8 skillsMCAP 374 MB
3 actions14 skillsMCAP 702 MB
129 actions31 skillsMCAP 17.8 GB
4 actions10 skillsMCAP 603 MB
26 actions40 skillsMCAP 2.7 GB
11 actions8 skillsMCAP 671 MB
18 actions11 skillsMCAP 2.0 GB
51 actions40 skillsMCAP 5.8 GB
119 actions36 skillsMCAP 17.4 GB
2 actions8 skillsMCAP 408 MB
19 actions29 skillsMCAP 2.0 GB
15 actions9 skillsMCAP 1.2 GB
44 actions38 skillsMCAP 4.7 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}}
}