BatSilver/TextRecognitionData

Text Recognition Dataset

This dataset is a comprehensive collection of Arabic and English text recognition samples designed for benchmarking and evaluating text recognition models. The dataset combines multiple sources to provide diverse text recognition challenges across different domains, scripts, and image conditions.

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📁 Dataset Structure

• Images are stored in .png format ()
• Accompanied by a CSV file (TextRecognitionAnnotations.csv) with ground truth annotations and text characteristics.

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📚 Data Sources and Attribution

This dataset is compiled from samples taken from the following sources:

• EvArEST Dataset: Arabic scene text samples from HGamal11/EvArEST-dataset-for-Arabic-scene-text
• Doctors Handwritten Prescription BD Dataset: Medical prescription samples from Kaggle - mamun1113
• AHAWP Per User Dataset: Handwritten Arabic text samples from Kaggle - mohammedfa

Note: This dataset contains selected samples from the above sources, with additional text characteristics and annotations added for comprehensive text recognition evaluation.

📊Dataset Statistics

Metric	Value
Total Images	3243
Languages	English and Arabic
Image Format	.png

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📊 Data Insights

🌍Text Characteristics

Characteristic	Values
Language	Arabic, English
Type of Word	String, Number, Character and Mixed
Text Type	Typed and Handwritten
Image Category	scene_text, medical_prescription, handwritten

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🛠️ How to Use

You can load the dataset using:

from datasets import load_dataset

ds = load_dataset("BatSilver/TextRecognitionData")