| --- |
| 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} |
| } |
| ``` |
|
|
