09 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:
11 ago - Milano
Michael Page International
11 ago - Asti
Jobtome
11 ago - Milano
Hays
11 ago - Savigliano
Alstom