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:
📌 Remote: Tfh - Face Deduplication Collection (Torino)
🏢 TELUS Digital AI Data Solutions
📍 Torino
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