Face Deduplication Collection Project

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.


Qualification path
No specific education is needed to perform the project task.

If you are interested in applying, please send a copy of your CV at

 tiai_diverse_crowd@telusdig ... with the subject title "Expatriates - Face Deduplication Collection Project"