Neither of the two biggest challenges for AI grading are the coding (which isn't up to par yet, but will likely get there sooner rather than later). Rather, they are
1) Insufficient examples in each grade (especially for scarcer issues) to properly train the model. That's why none of the smaller companies trying to give digital grading a go (that I'm aware of) are doing vintage.
2) Will also require a leap forward in scanning technology. Surface wrinkles and light creases tend to disappear in scans made even by quality scanners. System can't grade what it can't see.
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