AI grading uses deep neural networks trained on millions of card images.
These models learn:
what a perfect edge looks like
what whitening looks like
how centering ratios vary by set
patterns of print defects
how different eras of cards age
AGS models include:
classification networks
segmentation networks
defect detection networks
regression scoring models
This creates grading decisions based on patterns humans cannot reliably detect.