| --- |
| license: apache-2.0 |
| task_categories: |
| - video-classification |
| - feature-extraction |
| tags: |
| - video |
| - tubelets |
| - egocentric |
| - raw-frames |
| - computer-vision |
| size_categories: |
| - 10K<n<100K |
| --- |
| |
| # Tubelet Dataset |
|
|
| Pre-extracted raw video tubelets from the [Egocentric-10K](https://huggingface.co/datasets/builddotai/Egocentric-10K) dataset |
|
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| ## Tensor Format |
|
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| Each file is a single tubelet saved with and can be loaded with . |
|
|
| | Property | Value | |
| |----------|-------| |
| | **Shape** | | |
| | **Dtype** | | |
| | **Layout** | — Frames × Height × Width × Channels | |
| | **Frames** | 64 raw RGB frames per tubelet | |
| | **Resolution** | 384 × 384 center-cropped | |
| | **Pixel Range** | 0–255 (unnormalized) | |
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|
| ### 1. Frame Rate Downsampling |
| - Source videos are downsampled to **4 FPS** using FFmpeg's filter. |
| - The mode exactly matches Meta's frame selection. |
|
|
| ### 2. Shorter-Side Scaling (Aspect-Ratio Preserving) |
| - The shorter side of each frame is scaled to **438 pixels** while preserving the original aspect ratio. |
| - This value is derived from the canonical V-JEPA proportion: . |
| - For 224×224 crops, V-JEPA scales the shorter side to 256px. We scale proportionally for 384×384 crops. |
|
|
| ### 3. Center Cropping |
| - A **384 × 384** center crop is taken from each scaled frame. |
| - FFmpeg's filter defaults to center cropping when no x/y offsets are specified. |
|
|
| ### 4. Tubelet Chunking |
| - The full decoded frame sequence is divided into non-overlapping chunks of exactly **64 frames**. |
| - Incomplete trailing chunks (fewer than 64 frames) are discarded. |
|
|
| ### FFmpeg Command Used |
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|
| ## Directory Structure |
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| Files are partitioned across multiple root directories (, , , ...) to comply with HuggingFace's 10,000 files per directory limit. |
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| ## Usage |
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|
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| ## Source Dataset |
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| - **Source**: [builddotai/Egocentric-10K](https://huggingface.co/datasets/builddotai/Egocentric-10K) |
| - **Content**: Egocentric (first-person) video data from industrial/factory environments |
| - **Factories**: factory_001 through factory_050 |
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