Mopping lecture hall floor
56 actions16 skillsMCAP 14.8 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
319 clips
56 actions16 skillsMCAP 14.8 GB
17 actions14 skillsMCAP 2.0 GB
24 actions29 skillsMCAP 2.1 GB
15 actions16 skillsMCAP 2.0 GB
24 actions15 skillsMCAP 2.3 GB
8 actions10 skillsMCAP 730 MB
19 actions19 skillsMCAP 1.4 GB
17 actions17 skillsMCAP 2.1 GB
11 actions12 skillsMCAP 1.7 GB
12 actions16 skillsMCAP 948 MB
52 actions16 skillsMCAP 5.7 GB
15 actions21 skillsMCAP 2.7 GB
24 actions20 skillsMCAP 1.9 GB
15 actions19 skillsMCAP 2.0 GB
24 actions12 skillsMCAP 1.7 GB
7 actions14 skillsMCAP 718 MB
19 actions15 skillsMCAP 1.7 GB
14 actions15 skillsMCAP 1.4 GB
11 actions13 skillsMCAP 1.3 GB
10 actions8 skillsMCAP 882 MB
48 actions29 skillsMCAP 5.7 GB
15 actions22 skillsMCAP 1.1 GB
17 actions21 skillsMCAP 1.5 GB
12 actions12 skillsMCAP 2.0 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}}
}