---
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

## Tensor Format

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) |


### 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


## Directory Structure

Files are partitioned across multiple root directories (, , , ...) to comply with HuggingFace's 10,000 files per directory limit.



## Usage



## Source Dataset

- **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