30 ago - Torino
TELUS Digital AI Data Solutions
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:
31 ago - Lodi
Esprimo S. R. L.
31 ago - Milano
Antal International Network
31 ago - Pavia
Luxoft
31 ago - Colico
CEME Group