racineai/ocr-pdf-degraded
OCR-PDF-Degraded Dataset Overview This dataset contains synthetically degraded document images paired with their ground truth OCR text. It addresses a critical gap in OCR model training by providing realistic document degradations that simulate real-world conditions encountered in production environments. Purpose Most OCR models are trained on relatively clean, perfectly scanned documents. However, in real-world applications, especially in the… See the full description on the dataset page: https://huggingface.co/datasets/racineai/ocr-pdf-degraded.
| Author / organization | racineai |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 260 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 24 March 2025 |
| Last updated at source | 25 March 2025 |
Popularity, last 5 days
260 now (-25 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 17 Oct 2026 Description: OCR-PDF-Degraded Dataset Overview This dataset contains synthetically degraded document images paired with their ground truth OCR text. It addresses a critical gap in OCR model training by providing realistic document degradations that simu → OCR-PDF-Degraded Dataset Overview This dataset contains synthetically degraded document images paired with their ground truth OCR text. It addresses a critical gap in OCR model training by providing realistic document degradations that simu
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