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Weights for the BOTHROS pipeline: photograph an ancient Aegean tablet, get the signs on it by catalogue code and reading.
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1 sourceVerified Sep 1
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6 artifactsSource excerpts
2 excerptsThe name — a bóthros (βόθρος) is the pit Odysseus digs in the Odyssey, pouring libations so the spirits of the dead rise to speak with him. Apt for a tool that reads scripts silent for three thousand years.
yolo_aegean_unified.pt — one YOLO11s detector localising signs for both
scripts (sign detection is class-agnostic; Linear A and Linear B signs are
visually cognate).la_classifier.pth / lb_classifier.pth — ConvNeXt-Tiny classifiers
(AB-codes for Linear A; B-codes + readings for Linear B).lb_class_to_reading.json — Linear B B-code → phonetic reading map.Scope: this release covers Linear A and Linear B. Cretan Hieroglyphic (a stronger internal result, held back over train/test leakage in too small a corpus) and Cypro-Minoan (parked — the comparable Corazza 2022 corpus is non-redistributable) are not in v0.1.0; see the GitHub repo for status.
| metric | Linear A | Linear B | DeepScribe (cuneiform ref) |
|---|---|---|---|
| classifier oracle top-1 | 79.3% | 64.5% | 74% |
| pipeline E2E sign top-1 | 68.7% | 63.8% | 56.3% |
| pipeline per-line F1 | 64.9% | 76.5% | — |
| CER (lower better) | ~0.48 | 0.44 | 0.669 |
Per-line F1 is at the precise operating points (conf-filter 0.25 LA, n=133 / 0.30 LB, n=320). DeepScribe is a cross-domain reference (different script/corpus, hand-annotated GT, 141 classes vs LA 374 / LB 142), not a head-to-head. Full methodology + reproduction: GitHub repo.
Cross-script: a Linear-B-only detector reads Linear A at 60.7% F1 zero-shot — the
basis for shipping one unified aegean-unified detector for both scripts.
Two sets ship here. Benchmark (yolo_aegean_unified.pt, la_classifier.pth,
lb_classifier.pth) — strict held-out split; the numbers above are theirs; use these
to reproduce/compare. Release (*_release) — retrained on the full data incl.
the held-out split: max capability + broader coverage (LB 148 vs 142 classes), but
NOT benchmarkable (they have seen the test tablets — cite the benchmark numbers,
not these). Fetch with download_weights.py --release; run with bothros read ... --release.
pip install bothros # or: pip install -e . from the GitHub repo
python3 scripts/download_weights.py
python3 -m bothros read your_tablet.jpg --script la # or --script lb
CC BY-NC-SA 4.0 — derived from research-only corpora: lineara.xyz + GORILA (Linear A images), SigLA (Ester Salgarella & Simon Castellan) + lineara.xyz (Linear A sign boxes + AB-code catalogue), DĀMOS (Federico Aurora) + LinearBExplorer (Linear B). No corpus images are redistributed — only the trained weights. The pipeline source code is MIT (see the GitHub repo). Non-commercial use only.
DOI 10.5281/zenodo.20746759 · code + docs: https://github.com/jmacdonald263/bothros
lb_classifier_release.pth
pth · 107 MB · SHA-256 4ed15b258cb9…5142 · Hugging Face
--- license: cc-by-nc-sa-4.0 pipeline_tag: object-detection language: - gmy tags: - linear-a - linear-b - aegean-scripts - epigraphy - ancient-languages - object-detection - image-classification - digital-humanities - ocr - yolo - convnext - minoan - mycenaean - greek --- # BOTHROS — Linear A & Linear B sign reading from photographs Weights for the [BOTHROS](https://github.com/jmacdonald263/bothros) pipeline: photograph an ancient Aegean tablet, get the signs on it by catalogue code and reading. **🤗 Try the [live demo](https://huggingface.co/spaces/JMacD263/bothros-demo)** — no install, upload a photo. (Free-tier Space; if it shows "sleeping", give it ~30s to wake.) > **The name** — a [*bóthros*](https://en.wikipedia.org/wiki/Bothros) (βόθρος) is the pit Odysseus digs in > the *Odyssey*, pouring libations so the spirits of the dead rise to speak with him. Apt for a > tool that reads scripts silent for three thousand years. - **`yolo_aegean_unified.pt`** — one YOLO11s detector localising signs for *both* scripts (sign detection is class-agnostic; Linear A and Linear B signs are visually cognate). - **`la_classifier.pth` / `lb_classifier.pth`** — ConvNeXt-Tiny classifiers (AB-codes for Linear A; B-codes + readings for Linear B). - **`lb_class_to_reading.json`** — Linear B B-code → phonetic reading map. **Scope:** this release covers Linear A and Linear B. Cretan Hieroglyphic (a *stronger* internal result, held back over train/test leakage in too small a corpus) and Cypro-Minoan (parked — the comparable Corazza 2022 corpus is non-redistributable) are not in v0.1.0; see the [GitHub repo](https://github.com/jmacdonald263/bothros) for status. ## Results (held-out, leak-free) | metric | Linear A | Linear B | DeepScribe (cuneiform ref) | |---|---|---|---| | classifier oracle top-1 | 79.3% | 64.5% | 74% | | pipeline E2E sign top-1 | 68.7% | 63.8% | 56.3% | | pipeline per-line F1 | 64.9% | 76.5% | — | | CER (lower better) | ~0.48 | 0.44 | 0.669 | *Per-line F1 is at the precise operating points (conf-filter 0.25 LA, n=133 / 0.30 LB, n=320). DeepScribe is a cross-domain reference (different script/corpus, hand-annotated GT, 141 classes vs LA 374 / LB 142), not a head-to-head. Full methodology + reproduction: [GitHub repo](https://github.com/jmacdonald263/bothros).* *Cross-script: a Linear-B-only detector reads Linear A at **60.7% F1 zero-...
Source context: 0 downloads · 1 likes · Pipeline object-detection · Repo JMacD263/linear-a-linear-b-bothros