Automated Card Grading - Surface

[kevinlenane]

To answer questions on the surface details - anything that the human eye can detect a machine can as well (w greater resolution on most new cameras) so any edge cases can be accounted for by simply accounting for them with real and synthetic data. It's worth noting that it is expected that there will quite a bit of this kind of give and take from user to company - feedback is going to be welcome and utilized so something like the nuances of Hocus focus or T card edge cuts would require some feedback and then review for accuracy/ethics before it gets accommodated in the grading. Generally you can expect the data to be extremely transparent and eventually explanatory.