Processing and labeling items from bag
5 actions12 skillsMCAP 382 MB
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
208 clips
5 actions12 skillsMCAP 382 MB
109 actions40 skillsMCAP 13.9 GB
15 actions21 skillsMCAP 2.7 GB
30 actions36 skillsMCAP 3.1 GB
59 actions40 skillsMCAP 5.7 GB
10 actions6 skillsMCAP 2.7 GB
43 actions32 skillsMCAP 3.5 GB
12 actions18 skillsMCAP 973 MB
46 actions40 skillsMCAP 5.4 GB
100 actions33 skillsMCAP 10.9 GB
13 actions24 skillsMCAP 1.2 GB
27 actions40 skillsMCAP 3.0 GB
57 actions40 skillsMCAP 7.7 GB
8 actions4 skillsMCAP 781 MB
25 actions20 skillsMCAP 4.2 GB
45 actions40 skillsMCAP 5.7 GB
94 actions36 skillsMCAP 17.1 GB
10 actions13 skillsMCAP 958 MB
25 actions38 skillsMCAP 3.1 GB
55 actions36 skillsMCAP 7.5 GB
5 actions5 skillsMCAP 526 MB
21 actions15 skillsMCAP 1.6 GB
44 actions38 skillsMCAP 4.7 GB
81 actions28 skillsMCAP 11.2 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}}
}