| --- |
| license: mit |
| tags: |
| - scene-text-recognition |
| - scene-text-detection |
| - ocr |
| - indic |
| - paddleocr |
| library_name: paddleocr |
| --- |
| |
| # IndicSTSpotter — model weights |
|
|
| Detector + recognizer for **IndicSTSpotter**, a unified multilingual scene-text spotter |
| covering **11 Indic scripts + Latin** with a single detector, a single recognizer, and one |
| **frozen 1,638-character dictionary** — no script identification, no per-language weights. |
|
|
| > Private while the paper is under review. |
|
|
| ## Contents |
|
|
| | Path | Model | Params | Notes | |
| |---|---|---|---| |
| | `rec_stage2/` | recognizer (SVTR + CTC head, `PP-OCRv6_medium_rec`) | 15.8M | synthetic pretrain → real fine-tune; the paper's headline recognizer | |
| | `det_mist/` | detector (DB, `PP-OCRv6_medium_det`) | 15.5M | trained on real + MIST; used for dense-scene detection & end-to-end | |
| | `unified_dict.txt` | — | — | the frozen 1,638-char dictionary shared by all recognizers | |
|
|
| ## Usage |
|
|
| ```python |
| from huggingface_hub import snapshot_download |
| d = snapshot_download("MahimaSinghal/IndicSTSpotter", repo_type="model") |
| |
| from paddleocr import TextRecognition, TextDetection |
| rec = TextRecognition(model_name="PP-OCRv6_medium_rec", model_dir=f"{d}/rec_stage2") |
| det = TextDetection(model_name="PP-OCRv6_medium_det", model_dir=f"{d}/det_mist") |
| ``` |
|
|
| For dense scenes, run the detector at a higher inference resolution (long side 1920). |
| See the code repository's `REPRODUCE.md` for the exact per-table evaluation commands. |
|
|
| ## License |
|
|
| MIT (code). Model weights released for research use. |
|
|
