Abstract: An automated collectible card grading system includes a memory, a communication interface and a processor configured to execute instructions that include receiving a target image of a collectible card depicting a subject, isolating spatial features of the target image, generating a card feature model, applying the card feature model to the isolated spatial features to create a plurality of card metrics, and creating a grade report for the collectible card based on the card metrics. The card feature model is generated using a deep learning algorithm trained using other images of other collectible cards that are also isolated into spatial features. Isolated special features can include corners, edge regions, central regions, and surface impressions. The graded collectible card subject is a specific collectible card representation created by a collectible card manufacturer and can be different than the subjects of the other collectible cards used by the card feature model.