Remote: TFH - Face Deduplication Collection
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About the Role
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.
Key Skills for This Role
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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.
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