PyPotteryLens detects, segments, orients, and labels pottery drawings from archaeological PDFs using YOLO and EfficientNetV2, reporting above 96% precision and up to 20x faster processing.
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PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation
PyPotteryLens detects, segments, orients, and labels pottery drawings from archaeological PDFs using YOLO and EfficientNetV2, reporting above 96% precision and up to 20x faster processing.