2.6 million image-text pairs form this synthetic dataset for Persian Optical Character Recognition. Persian-OCR-Garshasp is designed for training and evaluating OCR and scene text recognition models for Persian text in the wild. The dataset was created by AliShafiee2003 and was last updated on Hugging Face in November 2025.
Use Cases
- Train scene text recognition models based on the described image-text pairs.
- Evaluate OCR model performance on Persian text based on the provided ground-truth labels.
- Benchmark model accuracy on text up to 70 characters based on the described label length.
- Develop multilingual OCR systems using the Persian language data.
Strengths
- Contains about 2.6 million image-text pairs, indicating a large scale.
- Images have a consistent resolution of 48px height and 640px width.
- Ground-truth text labels contain up to 70 Persian characters per sample.
Limitations
- Description metadata is limited; actual data quality requires manual inspection after download.
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
Provenance
- Source
- huggingface
- Collection Method
- Synthetically generated.
- Freshness
- Last updated 2025-11-18 04:47:50; freshness should be verified.