04 ago
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TELUS Digital AI Data Solutions
|
Ponderano
04 ago
TELUS Digital AI Data Solutions
Ponderano
Job description 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. To qualify for
📌 Remote: Tfh - Face Deduplication Collection (Ponderano)
🏢 TELUS Digital AI Data Solutions
📍 Ponderano