Selfies Data Collection Project

This project aims to gather a comprehensive and diverse dataset consisting of current neutral selfies, head-pose captures, and historical facial images. The collected data will support machine-learning research and enhance facial recognition model training at TELUS. The primary goal is to capture real-world variations, including differences in lighting, poses, expressions, accessories, environments, and aging, to improve the accuracy and robustness of the models.

Key Responsibilities
- Collect high-quality current neutral selfies that serve as clear frontal identity references, ensuring natural variation in appearance and surroundings.
- Capture selfies with assigned head poses to introduce diversity in head direction and pose variation.
- Provide historical images from personal photo galleries to document natural aging and long-term changes in appearance.
- Ensure that all images reflect real-world conditions to support the development of more reliable facial recognition technologies.

Required Qualifications
- No specific educational background is required to participate in this project.
- Willingness to provide multiple types of facial images, including current neutral selfies, head-pose captures, and historical photos.
- Ability to follow instructions regarding head pose assignments and image submission guidelines.
- Commitment to contributing authentic and diverse images to help improve machine-learning models.

Preferred Qualifications and Benefits
- While no formal qualifications are necessary, participants who can provide a wide range of images reflecting different lighting conditions, accessories, and environments will add significant value to the dataset.
- Participation in this project offers the opportunity to contribute to cutting-edge AI research and the advancement of facial recognition technology.
- Contributors will be part of a collaborative AI community focused on innovation and technological progress.

To apply, candidates are invited to visit the TELUS AI Community portal, create or update their profile, upload their resume, and submit an application for the role. This straightforward process enables interested individuals to join the project quickly and easily.