Datasetpublic

kme819870/MyanmarOCR-ImageText

🇲🇲 MyanmarOCR-ImageText Dataset A clean and diverse Burmese Image-to-Text dataset for OCR and multimodal AI research. 📌 Summary Total images: 41,664 Unique Burmese text entries: 1,139 Styles per text: 32 variations each Resolution: 512 × 512 File types: PNG/JPG images Dataset split: train only Use cases: OCR, I2T (image-to-text), VLM pretrain/fine-tune All text is Burmese only.No English words and no punctuation like: ? , ' " - 🔡… See the full description on the dataset page: https://huggingface.co/datasets/kme819870/MyanmarOCR-ImageText.

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Dataset Card

🇲🇲 MyanmarOCR-ImageText Dataset

A clean and diverse Burmese Image-to-Text dataset for OCR and multimodal AI research.

📌 Summary

—Total images: 41,664
—Unique Burmese text entries: 1,139
—Styles per text: 32 variations each
—Resolution: 512 × 512
—File types: PNG/JPG images
—Dataset split: train only
—Use cases: OCR, I2T (image-to-text), VLM pretrain/fine-tune

All text is Burmese only. No English words and no punctuation like: ? , ' " -

🔡 Text Content

Includes:

—Common words & Pali words
—Signs and short phrases
—Full Myanmar Unicode support

Variety of Myanmar spellings and writings are included (မြန်မာအက္ခရာတွေနဲ့ စကားလုံးမျိုးစုံပါဝင်ပါတယ်)

🎨 Style Variations

Each text appears in 32 visual styles with differences in:

—font
—color
—texture
—rotation (small angle)
—background patterns

This helps models generalize across real-world environments.

🧩 Data Format

Each sample includes:

Column	Type	Description
`image`	image	512×512 Burmese rendered text
`text`	string	Ground truth Burmese label
`style`	string	Style ID (e.g., `style_01`)

Example record:

json

{
  "image": "<image>",
  "text": "မြန်မာနိုင်ငံ",
  "style": "style_07"
}

🧪 Usage

python

from datasets import load_dataset

ds = load_dataset("kalixlouiis/MyanmarOCR-ImageText", split="train")
print(ds[0])

ds[0]["image"].show()

🎯 Intended Purposes

—Burmese OCR training
—Scene text model finetuning
—Vision-language pretraining
—Synthetic-to-real text recognition research
—Benchmark for Myanmar multimodal AI

⚠️ Limitations

—Synthetic images only — not real photos/signboards
—No English text or punctuation
—No complex layout structures (single word/short text per image)

📄 License

This dataset is released under the Creative Commons Attribution 4.0 International (CC-BY-4.0) license.

You are free to:

—✔ Share — copy and redistribute for any purpose
—✔ Adapt — modify, transform, and build upon the data

As long as you:

—Give appropriate credit
—Indicate changes
—Provide a link to the license

📌 License Text: https://creativecommons.org/licenses/by/4.0/

✨ Acknowledgment

Created by [@kalixlouiis](https://huggingface.co/kalixlouiis) with the goal of improving Myanmar OCR and AI research.

If you use this dataset in your research or applications, please cite and provide a link to the dataset page on Hugging Face:

🔗 https://huggingface.co/datasets/kalixlouiis/MyanmarOCR-ImageText

📚 Citation

bibtex

@dataset{kalixlouiis2025myanmarocr,
  title        = {MyanmarOCR-ImageText},
  author       = {Kalix Louis},
  year         = {2025},
  publisher    = {Hugging Face},
  howpublished = {\url{https://huggingface.co/datasets/kalixlouiis/MyanmarOCR-ImageText}},
  license      = {CC-BY-4.0}
}