Face Deduplication Collection (Part-time)

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.

Interested? Register below to get started!

https://www.telusinternational.ai/cmp/contributor/jobs/available/128689?utm_source=Talentprise&utm_medium=Ads&utm_campaign=SHTEms_AMERICAS_Paid+Site_Talentprise_Ads_128689_