AI & Archaeology · 8th to mid-9th century AD · Sanage kiln, Aichi Prefecture, Japan
AI sorts ancient Japanese pottery from 3D scans and shows where it looked
A deep learning model trained on 917 scanned pieces of Sue ware sorted five pottery types with 93.2% accuracy, and struggled most to separate dishes from bowls.