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  license: cc-by-nc-sa-4.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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- # BOTHROS weights
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- Unified Aegean sign detector + Linear A / Linear B classifiers. Code, model cards, and benchmarks: https://github.com/jmacdonald263/bothros
 
 
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- Weights are CC BY-NC-SA 4.0 (derived from research-only corpora).
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  license: cc-by-nc-sa-4.0
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+ pipeline_tag: object-detection
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+ language:
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+ - gmy
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+ tags:
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+ - linear-a
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+ - linear-b
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+ - aegean-scripts
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+ - epigraphy
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+ - ancient-languages
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+ - object-detection
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+ - image-classification
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+ - digital-humanities
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+ - ocr
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+ - yolo
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+ - convnext
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  ---
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+ # BOTHROS — Aegean sign reading from photographs (Linear A + Linear B)
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+ Weights for the [BOTHROS](https://github.com/jmacdonald263/bothros) pipeline:
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+ photograph an ancient Aegean tablet, get the signs on it by catalogue code and
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+ reading.
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+ - **`yolo_aegean_unified.pt`** — one YOLO11s detector localising signs for *both*
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+ scripts (sign detection is class-agnostic; Linear A and Linear B signs are
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+ visually cognate).
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+ - **`la_classifier.pth` / `lb_classifier.pth`** — ConvNeXt-Tiny classifiers
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+ (AB-codes for Linear A; B-codes + readings for Linear B).
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+ - **`lb_class_to_reading.json`** — Linear B B-code → phonetic reading map.
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+
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+ ## Results (held-out, leak-free)
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+
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+ | metric | Linear A | Linear B | DeepScribe (cuneiform ref) |
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+ |---|---|---|---|
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+ | classifier oracle top-1 | 79.3% | 64.5% | 74% |
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+ | pipeline E2E sign top-1 | 66.9% | 62.6% | 56.3% |
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+ | pipeline per-line F1 | 64.9% | 76.5% | — |
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+ | CER (lower better) | ~0.49 | 0.44 | 0.669 |
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+
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+ ## Usage
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+ ```bash
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+ pip install bothros # or: pip install -e . from the GitHub repo
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+ python3 scripts/download_weights.py
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+ python3 -m bothros read your_tablet.jpg --script la # or --script lb
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+ ```
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+
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+ ## Licence
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+ **CC BY-NC-SA 4.0** — derived from research-only corpora (GORILA, DĀMOS, SigLA).
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+ The pipeline source code is MIT (see the GitHub repo). Non-commercial use only.
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+
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+ ## Citation
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+ See https://github.com/jmacdonald263/bothros (Zenodo DOI on release).