Commit History

  1. Wording: faster, not fastest

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  2. Move the try-it-live links to the top of the card

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  3. Link the medai.eka.care live demo and launch blog

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  4. Create config.json

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  5. Remove gated-auth instructions (repo un-gated)

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  1. Gated-weights authentication instructions (hf auth login / HF_TOKEN)

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  2. Intro: the token classifier is the main contribution; OCR is pluggable

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  3. Remove text_score_threshold bullet (feature reverted in 0.10.1)

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  4. Document text_score_threshold (default 0.75)

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  5. Link the Nemotron BYO-OCR and quickstart notebooks

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  6. Link Nemotron OCR to nvidia/nemotron-ocr-v2

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  7. Intro: Tesseract suits PDFs/good scans; point difficult images to BYO OCR (e.g. Nemotron OCR)

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  8. Install: drop the [server] extra line (library usage only here)

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  9. Install: list the [visual] extra first — the default examples need it

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  10. Install: define visual entities (image-region PII) and enumerate all six types

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  11. Install: list all extras; note [visual] is needed for default image detection

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  1. Intro: name Bring-your-own OCR as a highlighted term

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  2. Docs: per-transform usage with real outputs, BYO-OCR in main snippet, notebook pointer

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  3. Docs: symmetric variable names image_redactor / text_redactor

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  4. Document hash pseudonym strategy (0.9.0)

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  5. Add positioning intro: image redaction, CPU-light, Indian context, pluggable OCR

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  6. Rename project to document-pii-redactor; update all links

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  7. Document bring-your-own-OCR support (0.7.0)

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  1. Correct licensing: per-model licenses following base-model lineage

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  2. Fix stale pre-0.4.0 example in deid/anon section

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  3. License weights under CC-BY-4.0 with attribution and citation section

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  1. detect() result is now a required transform argument (0.4.0)

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  2. Restructure usage around detect as the core primitive (0.3.0)

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  1. Document de-identify and anonymize modes (0.2.0)

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  2. Add Tesseract install commands, visual-entity examples

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  3. De-emphasize specific architecture names in prose

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  4. Add plain-text GitHub repo URL

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  5. Reference Eka-PII-redactors repo by name, drop hyperlink

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  6. Update README: fix GitHub link, add text usage, link demo Space

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  1. Add MiniLM-L12-H384 text PII token classifier (text_PII_redaction v1, 97 BIO labels, entity F1 0.739)

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  1. Keep YOLO11m as visual detector (better on populated classes incl. seal_stamp)

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  2. Swap visual detector to YOLO11s (tied accuracy, 2.3x faster, half size)

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  3. Update YOLO11m visual detector to final post-training weights

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  4. Upload folder using huggingface_hub

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  5. initial commit

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