Om-7387/Marathi-OCR

Marathi OCR Model Training Dataset

Description

This dataset is designed for training Optical Character Recognition (OCR) models for Marathi text.

It contains paired image and text data where each image includes Marathi textual content, and the corresponding ground truth text is provided.

Dataset Structure

The dataset consists of:

• PNG Images Folder

  • Contains input images with Marathi text.

• CSV File

  • Columns:
    • _id: Unique identifier
    • image_path: Relative path to the image
    • text: Ground truth Marathi text

Example:

_id	image_path	text
1	images/img1.png	नमस्कार
2	images/img2.png	माझं नाव ओमकार आहे

Use Cases

• OCR model training (TrOCR, CRNN, Vision Transformers)
• Marathi document digitization
• Text recognition in low-resource languages

Data Format

• Image format: .png
• Annotation format: .csv
• Encoding: UTF-8 (supports Marathi text)

Dataset Size

• Total samples: ~5,000

Notes

• Ensure image paths in CSV are correctly mapped.
• Text is normalized and aligned with images.
• Suitable for supervised learning tasks.

Loading Dataset

from datasets import load_dataset

dataset = load_dataset("Om-7387/Marathi-OCR")

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