Wiping conference room tables and chairs
75 actions27 skillsMCAP 8.9 GB
Wiping surfaces clips from EgoViz-120, each with egocentric and wrist video, depth, IMU, hand pose and action labels in one MCAP.
777 clips14.7 hCC-BY-4.0
777 clips
75 actions27 skillsMCAP 8.9 GB
73 actions33 skillsMCAP 8.2 GB
69 actions34 skillsMCAP 10.0 GB
64 actions17 skillsMCAP 5.5 GB
48 actions24 skillsMCAP 7.5 GB
46 actions11 skillsMCAP 6.9 GB
44 actions29 skillsMCAP 6.0 GB
44 actions13 skillsMCAP 4.8 GB
43 actions20 skillsMCAP 6.5 GB
43 actions32 skillsMCAP 3.5 GB
42 actions12 skillsMCAP 4.9 GB
42 actions22 skillsMCAP 4.5 GB
40 actions34 skillsMCAP 3.4 GB
40 actions13 skillsMCAP 4.2 GB
39 actions24 skillsMCAP 8.2 GB
39 actions13 skillsMCAP 5.0 GB
38 actions19 skillsMCAP 4.0 GB
35 actions14 skillsMCAP 3.5 GB
34 actions15 skillsMCAP 4.2 GB
33 actions13 skillsMCAP 3.0 GB
33 actions7 skillsMCAP 4.8 GB
32 actions10 skillsMCAP 4.9 GB
32 actions13 skillsMCAP 3.4 GB
30 actions12 skillsMCAP 3.9 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/wiping_surfaces ./wiping_surfaceshf 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}}
}