A python example for using OpenCV to identify faces within @BritishMuseum images.
Source code for the streamlit based web application SexEst. The application uses machine learning models to predict the Sex of unknown skeletons based on their cranial and postcranial measurements.
DirtLENS delivers accurate soil and geological analysis through a custom light-chamber borescope, combining real-time color detection with GPS orientation. Designed for fieldwork, it supports professionals and non-experts alike in archaeology, geology, and environmental science.
Microscope image stitiching program
Data and results for an MPhil Thesis entitled "A morphological and chemical characterization of archaeological charred grain: with implications for isotopic analysis"
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