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Tubelet Dataset

Pre-extracted raw video tubelets from the 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
Content: Egocentric (first-person) video data from industrial/factory environments
Factories: factory_001 through factory_050

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Total file size:

1.68 TB