Week 2: Data Pipeline

Day 8: Capturing Signer Video

Learn what makes source video useful for sign-language AI.

Day 8 of 2818 minGoal - Learn - Example - Practice - Checkpoint

Goal

Learn what makes source video useful.

Learn

  • Good capture starts before any model runs. The signer needs visible hands, face, upper body, and enough signing space.
  • Use stable framing, clear lighting, consistent distance, high enough resolution, and a background that does not hide hands or face.
  • Consent is part of capture quality. Sign-language video can reveal identity, disability status, language community, and personal expression.

Example

  • Capture checklist: face visible, both hands visible, wrists not cut off, elbows usually visible, no strong backlight, camera stable, signer centered, no confusing background motion, consent recorded, file name assigned.
  • A clip with perfect lighting but no consent is not usable for a responsible dataset.

Practice

  1. Create a capture checklist with three sections: camera, signer visibility, and consent.
  2. Use it to grade one existing video as keep, review, or reject.

Checkpoint

Before moving on

You can identify video conditions that help or hurt SignLLM training.

Deaf-first note

Deaf-first note

Do not make signers adapt to a careless pipeline. Build the capture setup around clear signing and respectful consent.