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DeepScribe: Localization and Classification of Elamite Cuneiform Signs Via Deep Learning
Edward C. Williams, Grace Su, Sandra R. Schloen et al., 2023.
What it's used for here
arXiv 2306.01268 (v2, February 2025). Modular pipeline (RetinaNet localisation, ResNet classification) trained on more than 5,000 annotated images and 100,000 sign bounding boxes from the Persepolis Fortification Archive (Achaemenid Elamite): localisation mAP 0.78, classifier top-5 accuracy 0.89, end-to-end top-5 0.80. Used as the benchmark for photograph-to-sign reading on a homogeneous archive.
Our copy
Research copy, for editors and curators. The work is the publisher's, so readers are sent to it. We keep this copy so the citation can be checked if the page changes or goes.
arxiv.org · fetched 31 Oct 2026
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Cited by on this site 3 records
Cite it
Edward C. Williams, Grace Su, Sandra R. Schloen, Miller C. Prosser, Susanne Paulus, & Sanjay Krishnan (2023). DeepScribe: Localization and Classification of Elamite Cuneiform Signs Via Deep Learning. https://arxiv.org/abs/2306.01268
@article{williams2023deepscribe,
author = {Edward C. Williams} and {Grace Su} and {Sandra R. Schloen} and {Miller C. Prosser} and {Susanne Paulus} and {Sanjay Krishnan},
title = {DeepScribe: Localization and Classification of Elamite Cuneiform Signs Via Deep Learning},
year = {2023},
url = {https://arxiv.org/abs/2306.01268}
}TY - GEN TI - DeepScribe: Localization and Classification of Elamite Cuneiform Signs Via Deep Learning AU - Edward C. Williams AU - Grace Su AU - Sandra R. Schloen AU - Miller C. Prosser AU - Susanne Paulus AU - Sanjay Krishnan PY - 2023 UR - https://arxiv.org/abs/2306.01268 ER -
et al.. “DeepScribe: Localization and Classification of Elamite Cuneiform Signs Via Deep Learning.” 2023.