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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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