Face Deduplication Collection

Overview

The project compensation rate is $0.55 USD per accepted image. 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, enviro

What you'll do

• The project compensation rate is $0.55 USD per accepted image.
• 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: • Current Neutral Selfies, clean frontal selfies serving as high-quality identity references, with natural variation in appearance and surroundings.
• • Current Head-Pose Captures, selfies captured in assigned head directions to introduce pose variation.
• • Historical Images, older photos from participants’ galleries to capture natural aging and long-term appearance changes.
• 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 Note: Please use a Gmail address as your primary account when applying for this project.
• Qualification path No specific education is needed to perform the project task..

Requirements

• Practical experience with research.
• Relevant academic or project background for a Face Deduplication Collection role.
• Strong written and verbal communication in English.
• Comfortable working on-site in USA.

Skills