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Upload README.md with huggingface_hub

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+ ---
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+ license: mit
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+ task_categories:
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+ - depth-estimation
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+ - video-classification
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+ tags:
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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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+
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+ # Depth and Normal Videos Dataset
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+
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+ A comprehensive dataset containing **42,498 videos** with depth sequences and surface normals.
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+
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+ ## Dataset Summary
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+
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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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+
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+ ## Structure
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+
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+ ```
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+ Depth_and_Normal_42K/
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+ β”œβ”€β”€ dataset_metadata.json
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+ β”œβ”€β”€ group_0000/
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+ β”‚ β”œβ”€β”€ videos/ # RGB video sequences
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+ β”‚ β”œβ”€β”€ depths/ # Depth video sequences
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+ β”‚ └── normals/ # Surface normal sequences
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+ β”œβ”€β”€ group_0001/
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+ └── ...
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+ ```
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+
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+ ## File Naming
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+
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+ Files use 8-digit zero-padded IDs: `00000000.mp4` to `00042497.mp4`
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+
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+ ## Video Properties
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+
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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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+
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+ ## Usage
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+
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+ ```python
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+ from huggingface_hub import hf_hub_download
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+
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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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+
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+ ## Applications
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+
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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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+
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+ ## License
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+
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+ MIT License