AI Image Data Labeler and Trainer for Face Comparison Model
Built an AI using insight face models for image face comparison with 99.999% accuracy, used for authentication and verification. This involved collecting and preparing facial image datasets for model training and evaluation. The process required validating, labeling, and organizing the images to enhance the system's accuracy. These tasks contributed to reliable facial authentication for the bank's application. • Curated image datasets for face recognition. • Labeled and validated facial images for model training. • Ensured dataset consistency to improve model reliability. • Supported deployment of face comparison AI for authentication.