Dynamic image analysis to identify ancient artifacts in soil samples.

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

Tool for the automatic recognition of archaeological pottery.

Tools of Virtual Anthropology to build virtual cavities as endocasts, to align two disarticulated models belonging to the same specimen, and functions to import and export format files into another format.

R code for converting B&W jpgs of artefact silhouettes to matrices and computing basic Elliptical Fourier statistics, including PCA and MANOVA.

Visual shape-matching of ceramics profiles.

R scripts for digitizing, processing, analyzing, and comparing archaeological ceramic 2d profile drawings, photographs, and other data.

Work with geotifs to detect charcoal hearths

Extracts and calculates from long bone cross sections, cortical thickness maps, and biomechanically pertinent cross-sectional geometric properties.

An App to recognize cuneiform characters on your Android phone.

Computer-Assisted Drawing of Archaeological Pottery.

Enables the creation of a high quality 3D model of an archaeological artefact via process known as photo-masking.

Restoring and attributing ancient texts using deep neural networks.

Provide a pipeline from shape data extraction to typological arrangement of pottery profiles.

Shiny implementation of morphotype.

This Python library was written as an help for the study of stone walls, mainly through the quantitative analysis of spatial dimensions of stones.

An automated process to detect buildings within large sets of postholes in multi-occupational sites, similar to the obsolete Windows-software “posthole” by Irwin Scollar.

Python implementation of postAAR.

Computer-Assisted Shape Classification of Archaeological Pottery Fragments.

Rock art object detection model.

Create visualizations from laserscans.

Reconstructing rock art chronology with transfer learning

Uses machine learning models to predict the Sex of unknown skeletons based on their cranial and postcranial measurements.

This is an R package for the extraction, analysis and classification of (not only) archaeological objects derived from scanned images. Especially it aims at the analysis of the shapes/profiles of eg. ceramic vessels or arrow heads.

Extract text from archaeological photos containing a sign board and tag as metadata.

Synthetic Categories for Archaeological Vessel Comparison.