Datasets:
Modalities:
Video
Languages:
English
Size:
10K - 100K
Tags:
robotics
computer-vision
hand-object-interaction
dexterous-manipulation
sim-to-real
domain-adaptation
Search is not available for this dataset
video video 2.37 19.9 | label class label 1.26k
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UNISON-S2R
Dataset Summary
UNISON-S2R is a paired real-and-simulated RGB video dataset for sim-to-real visual adaptation in hand-object interaction.
Each record contains a real human-hand video clip and a corresponding simulated dexterous-hand video clip representing an aligned manipulation action. The paired clips share the same frame count, frame rate, and camera-view index.
The dataset is designed to reduce the visual domain gap between simulated and real hand-object interaction videos without requiring dense pose, contact, or pressure annotations for the real videos.
Dataset Statistics
| Item | Value |
|---|---|
| Paired sequence-view records | 4,820 |
| Aligned sequence IDs | 1,205 |
| Source demonstrations | 488 |
| Camera views | 4 |
| Manipulation primitives | 61 |
| Total RGB frames | Approximately 3.74 million |
| Video frame rate | 60 FPS |
| Video resolution | 848 × 480 |
Data Contents
Each paired record includes:
- A real human-hand RGB video clip
- A corresponding simulated dexterous-hand RGB video clip
- Source sequence and camera-view information
- Frame-range metadata
- Hand-side information
- An action primitive label
The action primitives cover common manipulation behaviors such as holding, placing, pouring, scooping, and capping.
Intended Uses
UNISON-S2R can be used for research on:
- Sim-to-real visual domain adaptation
- Real-to-simulation video alignment
- Hand-object interaction representation learning
- Dexterous-hand and human-hand correspondence
- Robot-hand retargeting
- Action-conditioned manipulation simulation
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