TELUS Digital is running a project to collect a large, diverse dataset of neutral selfies, head-pose captures, and historical facial images for machine-learning research and facial recognition model training. The focus is on real-world lighting, poses, expressions, and aging to improve accuracy and robustness.
Participants must submit a minimum of 20 valid images; payout is USD 0.55 per accepted image, with a recommended target of 30 images to maximize successful approvals.
📌 Remote Face Data Collector: Selfies (Colombia)
🏢 Telus Digital
📍 Colombia
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