Datasets:
Update video specs for 1080p sample pack
Browse files
README.md
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- Intel RealSense D435I RGB-D capture for overhead view
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- Chinese cooking tasks involving tool use, bimanual coordination, and fine-grained food manipulation
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---
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## Sample Pack Contents
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| File | Description |
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|------|-------------|
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| `side_view.mp4` | Fixed side-view phone camera (1920Γ1080, 60fps) |
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| `overhead/overhead.mp4` | Fixed overhead RealSense RGB (1280Γ720, 15fps) |
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| `depth/depth.hdf5` | Aligned depth frames, float32 in meters (480Γ848, 2379 frames) |
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| File | Description |
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|------|-------------|
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| `side_view.mp4` | Fixed side-view phone camera (1920Γ1080,
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> Depth sample is included for Task 1. Additional depth recordings may be available depending on the task and capture setup.
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## File Structure
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```
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βββ
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β βββ overhead
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β
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β βββ depth
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β
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βββ side_view_*.PNG
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```
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**Read depth data (Python):**
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```python
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import h5py
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with h5py.File("
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depth = f["depth_meters"][:] # (2379, 480, 848) float32, meters
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ts = f["timestamps"][:]
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```
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## Camera Setup
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| View | Device | Resolution | Frame Rate |
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|------|--------|------------|------------|
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| Egocentric | Head-mounted action camera | 3840Γ2160 (4K) | 29.97 fps |
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| Side | Fixed smartphone | 1920Γ1080 | 60 fps |
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| Overhead RGB-D | Intel RealSense D435I | RGB 1280Γ720 / Depth 848Γ480 | 15 fps |
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---
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Additional materials may be available upon request:
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- Longer multi-view MP4 recordings
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- Additional HDF5 metric depth sequences
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- RealSense raw `.bag` recordings
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- Intel RealSense D435I RGB-D capture for overhead view
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- Chinese cooking tasks involving tool use, bimanual coordination, and fine-grained food manipulation
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> **Note:** Large egocentric videos in this sample pack are provided as **1080p preview encodings** for easier download. Full **4K** source recordings are available upon request.
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---
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## Sample Pack Contents
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| File | Description |
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|------|-------------|
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| `egocentric_1080p.mp4` | Head-mounted action camera, first-person view (1920Γ1080, 30fps preview) |
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| `side_view.mp4` | Fixed side-view phone camera (1920Γ1080, 60fps, original capture) |
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| `overhead/overhead.mp4` | Fixed overhead RealSense RGB (1280Γ720, 15fps) |
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| `depth/depth.hdf5` | Aligned depth frames, float32 in meters (480Γ848, 2379 frames) |
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| File | Description |
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|------|-------------|
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| `egocentric_1080p.mp4` | Head-mounted action camera, first-person view (1920Γ1080, 30fps preview) |
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| `side_view.mp4` | Fixed side-view phone camera (1920Γ1080, 30fps preview) |
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> Depth sample is included for Task 1. Additional depth recordings may be available depending on the task and capture setup.
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## File Structure
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```
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task_01_cutting/
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βββ egocentric_1080p.mp4
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βββ side_view.mp4
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βββ overhead/
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β βββ overhead.mp4
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β βββ overhead_*.PNG
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βββ depth/
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β βββ depth.hdf5
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β βββ check_*.jpg
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βββ egocentric_screenshot_*.PNG
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βββ side_view_*.PNG
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task_02_stir_fry/
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βββ egocentric_1080p.mp4
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βββ side_view.mp4
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βββ egocentric_screenshot_*.PNG
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βββ side_view_*.PNG
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```
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**Read depth data (Python):**
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```python
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import h5py
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with h5py.File("task_01_cutting/depth/depth.hdf5", "r") as f:
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depth = f["depth_meters"][:] # (2379, 480, 848) float32, meters
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ts = f["timestamps"][:]
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```
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## Camera Setup
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### Sample pack (this repository)
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| View | Task 1 | Task 2 |
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|------|--------|--------|
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| Egocentric | 1920Γ1080, 30fps (`egocentric_1080p.mp4`) | 1920Γ1080, 30fps (`egocentric_1080p.mp4`) |
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| Side | 1920Γ1080, 60fps (`side_view.mp4`) | 1920Γ1080, 30fps (`side_view.mp4`) |
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| Overhead RGB | 1280Γ720, 15fps | β |
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| Overhead depth | 848Γ480 (HDF5) | β |
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### Original capture specs (full dataset on request)
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| View | Device | Resolution | Frame Rate |
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|------|--------|------------|------------|
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| Egocentric | Head-mounted action camera (DJI Osmo Action 3) | 3840Γ2160 (4K) | 29.97 fps |
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| Side | Fixed smartphone | 1920Γ1080 | up to 60 fps |
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| Overhead RGB-D | Intel RealSense D435I | RGB 1280Γ720 / Depth 848Γ480 | 15 fps |
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---
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Additional materials may be available upon request:
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- Full **4K** egocentric MP4 recordings
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- Longer multi-view MP4 recordings
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- Additional HDF5 metric depth sequences
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- RealSense raw `.bag` recordings
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