Remote: TFH - Face Deduplication Collection

Overview

• 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.
• Once you have successfully applied and registered, please send a confirmation email to
• mailyn.esguerra@telusdigital.com
• with the subject line:
• Subject: Application Confirmation - [Job Title] via (Site Name)
• to ensure your application is processed.
• Please include the email address you used to register.