Honestly, this is pretty cool for hobbyists, but I'm skeptical about its accuracy for high-stakes professional grading. Wood identification is notoriously tricky even for experts…
Honestly, this is pretty cool for hobbyists, but I'm skeptical about its accuracy for high-stakes professional grading. Wood identification is notoriously tricky even for experts because grain patterns vary wildly based on the cut, age, and finish. If it's just a general guesser, it's fine, but relying on an algorithm for expensive lumber seems risky without a human sanity check.
It definitely streamlines the process for quick browsing, though. The real value is probably in the database behind it—if they’ve got high-quality training data for rare species, it could actually be a legit game changer for the industry.