The objective of this project is to collect a large and diverse dataset of current neutral selfies, head-pose captures, and historical facial images to support machine-learning research and facial recognition model training at TELUS.

The focus is on capturing real-world variation across lighting, poses, expressions, accessories, environments, and aging to improve model accuracy and robustness.

The collection includes:

• Current Neutral Selfies – clean frontal selfies serving as high-quality identity references, with natural variation in appearance and surroundings.

• Current Head-Pose Captures – selfies captured in assigned head directions to introduce pose variation.

• Historical Images – older photos from participants’ galleries to capture natural aging and long-term appearance changes.

How to Apply

• Visit our AI Community portal:
• Create or update your profile
• Upload your resume
• Appl...