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README.md
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- depth
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- normal
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- computer-vision
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- video
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size_categories:
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- 10K<n<100K
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---
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# Depth and Normal Videos Dataset
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## Dataset Summary
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- **Total Samples**: 42,498 videos
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- **Groups**: 5 groups (10,000 samples per group)
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- **Source**: Harold328/video_depth
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- **Processing**: Depth Anything V2 + Gradient-based normals
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## Structure
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```
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Depth_and_Normal_42K/
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βββ dataset_metadata.json
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βββ group_0000/
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β βββ videos/ # RGB video sequences
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β βββ depths/ # Depth video sequences
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β βββ normals/ # Surface normal sequences
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βββ group_0001/
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βββ ...
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```
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## File Naming
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Files use 8-digit zero-padded IDs: `00000000.mp4` to `00042497.mp4`
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## Video Properties
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- Format: MP4
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- Average frames: ~110 per video
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- Frame count range: 83-110 frames
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## Usage
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```python
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from huggingface_hub import hf_hub_download
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# Download a specific video
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video = hf_hub_download(
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repo_id="Yanbin99/Depth-Normal-Videos-42K",
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filename="Depth_and_Normal_42K/group_0000/videos/00000000.mp4",
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repo_type="dataset"
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)
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```
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## Applications
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- Video depth estimation
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- Temporal consistency learning
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- 3D video reconstruction
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## License
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MIT License
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- depth
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- normal
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- computer-vision
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size_categories:
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- 10K<n<100K
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---
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# Depth and Normal Videos Dataset
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**42,498 videos** with depth and surface normals.
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## Usage
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```python
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from huggingface_hub import hf_hub_download
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video = hf_hub_download(
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repo_id="Yanbin99/Depth-Normal-Videos-42K",
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filename="Depth_and_Normal_42K/group_0000/videos/00000000.mp4",
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repo_type="dataset"
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)
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```
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