metadata
license: cc-by-4.0
pretty_name: Factory Manipulation Videos
task_categories:
- video-classification
- robotics
tags:
- robotics
- manipulation
- factory
- video
- egocentric
size_categories:
- n<1K
Factory manipulation videos
Procedural Robotics is open sourcing a small set of our factory data so teams can assess its quality. The videos show workers performing factory tasks.
Contents
Seven continuous takes, 109 minutes in total.
| Task | Station | Worker | Duration | File |
|---|---|---|---|---|
| cardboard manipulation | 01 | 041 | 23.6 min | cardboard_manipulation_station01_worker041.mp4 |
| cardboard manipulation | 04 | 026 | 16.5 min | cardboard_manipulation_station04_worker026.mp4 |
| defect testing | 08 | 009 | 14.3 min | defect_testing_station08_worker009.mp4 |
| plastic assembly | 05 | 032 | 7.7 min | plastic_assembly_station05_worker032.mp4 |
| plush manipulation | 05 | 020 | 13.3 min | plush_manipulation_station05_worker020.mp4 |
| screw assembly | 01 | 015 | 16.0 min | screw_assembly_station01_worker015.mp4 |
| screw assembly | 12 | 003 | 17.9 min | screw_assembly_station12_worker003.mp4 |
Format
MP4, H.264, 1280x720, 30 fps, no audio. First person view from a wearable camera on the factory floor. Each file is one uninterrupted recording of a single task.
Privacy
Faces were detected and blurred in every video. Audio was removed.
Loading
from datasets import load_dataset
ds = load_dataset("videofolder", data_dir="videos", split="train")
videos/metadata.csv carries the task, station, worker, duration and resolution for each file.
Intended use
A sample for evaluating data quality, not a training scale release. Contact us for the full dataset.
Contact
Procedural Robotics, proceduralrobotics.com.