uchicago-digitalculture-webdev/deepscribe
Code and sample images described in the paper "DeepScribe: Localization and Classification of Elamite Cuneiform Signs Via Deep Learning"
This tool helps researchers in ancient Near Eastern studies automatically identify and classify Elamite cuneiform signs on images of ancient tablets. It takes scanned images of Persepolis Fortification Tablets as input and outputs a proposed transliteration of the cuneiform text, assisting in the daunting task of deciphering and analyzing these historical documents. It is designed for epigraphers, archaeologists, and historians specializing in the Achaemenid Empire.
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Use this if you need to rapidly process and transliterate a large collection of Elamite cuneiform tablet images, or want to explore automated assistance for decipherment.
Not ideal if you are working with cuneiform scripts other than Elamite, or if your primary interest is in developing new deep learning architectures from scratch rather than applying existing ones.
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GPL-3.0
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Dec 29, 2024
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