An AI-powered human-in-the-loop raster digitization QGIS plugin for archaeologists.

Translating Akkadian signs to transcriptions using NLP techniques such as HMM, MEMM and BiLSTM neural networks.

Conditional Random Fields model for NER in Dutch Archaeology.

Snapshot of the proof-of-concept pipeline from KIM Hongyeon’s 2025 paper on LLM-based metadata extraction from archaeological excavation reports (PDF text/image extraction, caption mapping, LLM structuring, SQLite storage, glossary-augmented Q&A).

Machine learning techniques for archaeology.

Automated detection and classification of multi-cell phytoliths at genera and species-level using Deep Learning algorithm.

A Dutch BERT model for the Archaeology domain.

An AI-assisted workflow capable of creating uniform archaeological datasets from heterogeneous published resources.

A computer vision tool designed to automate the documentation and analysis of archaeological pottery.

TypeScript library for extracting structured data from archaeological excavation report PDFs using Docling and LLM-powered analysis

A lightweight web application for creating AI‑generated catalogue entries and conservation assessments of archaeological sites and artworks.

Automates the digital inking process of archaeological pottery drawings, transforming pencil drawings into publication-ready illustrations while preserving the original characteristics and enhancing their analytical power.

Provides a comprehensive suite of tools for processing, detecting, and analyzing pottery fragments from scanned documents.

A text analysis program to explore online content about prehistoric rock art.

This repository contains the Convolutional Neural Network (CNN) models and code used and developed by the Arch-I-Scan Project, towards automatic classification of sherd material.