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:
To qualify for payment, you must submit a minimum of 20 valid images. The maximum payout is based on 24 accepted images. Due to the strict automated and manual Quality Control (QC) process, we strongly recommend submitting 30 images to help ensure that enough images remain valid after review.
Compensation and Benefits
Why you should apply for this position today
This project offers a unique opportunity to contribute to machine-learning research and facial recognition model training while potentially earning money through your image submissions. It is an excellent chance to participate in a meaningful endeavor that supports technological advancements.
Skills
Responsibilities
Qualifications
Education Requirements
Education Requirements Credential Category
Experience Requirements
Why work in Panama City
Panama City offers a vibrant cultural scene, rich history, and a dynamic environment for both personal and professional growth. With a diverse community and a unique blend of modern and traditional experiences, it provides an excellent backdrop for participating in innovative projects.
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