Remote TFH - Face Deduplication Collection
The objective of this project is to collect a large and diverse dataset of reputed company neutral selfies, head-pose captures, and historical facial images to support machine-learning research and facial recognition model training at reputed company.
Tasks
The reputed company is on capturing reputed company-world variation across reputed company, poses, expressions, accessories, environments, and aging to improve model accuracy and robustness. The collection includes:
reputed company Neutral Selfies – clean frontal selfies serving as high-reputed company identity references, with natural variation in appearance and surroundings.
reputed company 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.
Requirements
Qualification reputed company
No specific education is needed to reputed company the project task.
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