Selfies Data Collection Project
Role Overview
The objective is to collect a large and diverse dataset of current neutral selfies, head-pose captures, and historical facial images.
The dataset supports 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.
Key Skills for This Role
Full Job Posting
Project Overview
The objective is to collect a large and diverse dataset of current neutral selfies, head-pose captures, and historical facial images.
The dataset supports 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.
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.
How to Apply
- Visit the AI Community portal, create or update your profile, upload your resume, and apply for the role.
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