Mopping office floor
19 actions6 skillsMCAP 2.3 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
512 clips
19 actions6 skillsMCAP 2.3 GB
19 actions6 skillsMCAP 1.9 GB
19 actions10 skillsMCAP 1.9 GB
19 actions6 skillsMCAP 2.0 GB
19 actions11 skillsMCAP 1.8 GB
18 actions10 skillsMCAP 1.5 GB
18 actions14 skillsMCAP 1.6 GB
18 actions8 skillsMCAP 2.7 GB
18 actions12 skillsMCAP 2.0 GB
18 actions11 skillsMCAP 3.2 GB
17 actions23 skillsMCAP 2.3 GB
17 actions11 skillsMCAP 2.1 GB
17 actions13 skillsMCAP 1.9 GB
17 actions13 skillsMCAP 3.7 GB
17 actions16 skillsMCAP 4.0 GB
17 actions8 skillsMCAP 3.9 GB
17 actions15 skillsMCAP 2.5 GB
17 actions21 skillsMCAP 3.5 GB
16 actions12 skillsMCAP 1.5 GB
16 actions7 skillsMCAP 3.5 GB
16 actions13 skillsMCAP 2.2 GB
16 actions9 skillsMCAP 2.4 GB
16 actions15 skillsMCAP 4.5 GB
16 actions11 skillsMCAP 2.1 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}}
}