Mopping cafeteria floor
146 actions40 skillsMCAP 32.7 GB
Mopping floor clips from EgoViz-120, each with egocentric and wrist video, depth, IMU, hand pose and action labels in one MCAP.
1,595 clips56.8 hCC-BY-4.0
1,595 clips
146 actions40 skillsMCAP 32.7 GB
129 actions31 skillsMCAP 17.8 GB
119 actions36 skillsMCAP 17.4 GB
109 actions30 skillsMCAP 14.2 GB
109 actions40 skillsMCAP 13.9 GB
100 actions33 skillsMCAP 10.9 GB
94 actions36 skillsMCAP 17.1 GB
86 actions40 skillsMCAP 14.7 GB
85 actions25 skillsMCAP 9.4 GB
81 actions28 skillsMCAP 11.2 GB
80 actions31 skillsMCAP 13.6 GB
76 actions28 skillsMCAP 7.0 GB
72 actions28 skillsMCAP 16.1 GB
71 actions32 skillsMCAP 8.9 GB
69 actions26 skillsMCAP 11.7 GB
63 actions19 skillsMCAP 8.7 GB
62 actions20 skillsMCAP 7.8 GB
62 actions22 skillsMCAP 7.5 GB
61 actions28 skillsMCAP 6.6 GB
61 actions24 skillsMCAP 8.1 GB
61 actions7 skillsMCAP 9.5 GB
60 actions14 skillsMCAP 5.5 GB
60 actions40 skillsMCAP 6.4 GB
59 actions21 skillsMCAP 7.9 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/mopping_floor ./mopping_floorhf 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}}
}