Overview:

Photographers and annotators are needed to capture and document a 741-image people dataset using professional DSLR/mirrorless cameras. Images will be used for AI/computer vision model training and must meet strict consistency standards for framing, settings, and metadata.

Responsibilities:

• Photograph diverse subjects (gender, age, skin tone, ethnicity) indoors and outdoors.

• Capture across three face-coverage tiers: >25%, 15–25%, and <15% of the field of view.

• Save all files in RAW format (CR2 / NEF / ARW) at full sensor resolution.

• Complete the DSLR Metadata Template for every image — all 33 fields required.

• Record exact camera settings: aperture, shutter speed, ISO, focal length, and lens model.

• Organise files by volume folder using YYYYMMDD + photographer ID naming convention.

Approved Equipment:

• Camera Bodies: Canon R5 / R3 | Nikon Z8 / Z9 | Sony Alpha 9 III / A7 III / A7 IV

• Lenses: Canon / Nikon / Sony high-quality telephoto, 70–200mm range

• File Format: RAW only (CR2 / NEF / ARW) — JPEG not accepted

Quality Standards:

• RAW format only — JPEG submissions rejected.

• All metadata fields must be complete; no blank required fields.

• Images must be sharp, correctly exposed, and in focus.

• Face coverage must match the volume tier within ±5% tolerance.

• Each image must have a unique filename and UUID.

Required Skills

• Hands-on experience with Canon, Nikon, or Sony professional cameras.

• Confident use of manual exposure settings (aperture, shutter, ISO, focal length).

• Experience photographing people in varied environments.

• Accuracy and consistency in data/metadata entry.