Datasetpublic

arobin79/bangla-ocr-validation_data_printed

Bangla OCR Validation Dataset (Printed + Scanned) 📌 Description This dataset is a Bangla OCR validation dataset containing a mix of printed document images and their corresponding text annotations. It is designed to evaluate OCR and vision-language models on both clean digital text and scanned document images. 📊 Dataset Composition 1507 line-level images with text annotations 50 full-page document images with text Data includes: Printed/typed… See the full description on the dataset page: https://huggingface.co/datasets/arobin79/bangla-ocr-validation_data_printed.

sourceHugging Faceupdated 5mo agoView on Hugging Face

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Dataset Card

Bangla OCR Validation Dataset (Printed + Scanned)

📌 Description

This dataset is a Bangla OCR validation dataset containing a mix of printed document images and their corresponding text annotations. It is designed to evaluate OCR and vision-language models on both clean digital text and scanned document images.

📊 Dataset Composition

—1507 line-level images with text annotations
—50 full-page document images with text
—Data includes:
—Printed/typed Bangla text (clean)
—Scanned document images (noisy, real-world)

🧾 Features

Each sample contains:

—image: Input image (line or page)
—text: Ground-truth Bangla transcription
—type: Indicates data type (line or page)

🎯 Use Cases

—Bangla OCR evaluation
—Document understanding
—Vision-language model validation
—Robustness testing (clean vs scanned)

🚀 Usage

python

from datasets import load_dataset

dataset = load_dataset("arobin79/bangla-ocr-validation_data_printed")

sample = dataset["train"][0]
print(sample["text"])
sample["image"].show()