Datasets:
File size: 1,631 Bytes
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license: cc-by-4.0
pretty_name: video2sim captures
language:
- en
task_categories:
- video-classification
- image-to-3d
tags:
- video
- 3d-reconstruction
- robotics
- simulation
- benchmark
size_categories:
- n<1K
---
# video2sim captures
Short handheld videos of workspaces, captured as input for the video2sim pipeline
(video → reconstruction → segmentation → shape → physics → simulation assets).
## Contents
- `scenes/s01–s24/`: 24 scenes, each with:
- `video_a.mp4` — orbit around the table
- `video_b.mp4` — rough side view
- `alt_*/` — extra takes (`alt_lighting`, `alt_path`, `alt_closeup`,
`glass_bottle_close`)
- `scenes/thumbnails/`, `scenes/thumbnails_lowres/`: preview images
(1920×1080 and 640×360)
Clips are `.mp4`, 5–65 seconds each. Scenes s06, s14 and s24 are
video_b-only (plus two `alt_path` takes each).
## Capture protocol
- Device: iPhone 14
- Resolution: 1920×1080
- Frame rate: 30 fps
- Camera motion: VideoA is an orbit around the table, VideoB a rough side view
- Lighting: mostly diffuse room light (optimal conditions); some scenes use natural light
## Privacy and consent
Scenes are clean for the most part. One background document still needs a double-check
before public release.
## Intended use
Research and benchmarking of video-to-simulation pipelines.
## Citation
```bibtex
@dataset{korbmacher2026video2sim,
author = {Korbmacher, Tom Korbmacher, Tom},
title = {video2sim captures},
year = {2026},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/TomKrb/video2sim-captures}
}
```
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