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α‘α¬αα¬αα±αα αα―ααΉαα«
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α‘α¬αα¬αα±αα αα―ααΉαα«
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α‘α¬αα¬αα±αα αα―ααΉαα«
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α‘α¬αα¬αα±αα αα―ααΉαα«
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ααααΉαα¬α αααααΉααα
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ααααΉαα¬α αααααΉααα
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αα±α αααα«
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π²π² MyanmarOCR-ImageText Dataset
A clean and diverse Burmese Image-to-Text dataset for OCR and multimodal AI research.
π Summary
- Total images: 41,664
- Unique Burmese text entries: 1,139
- Styles per text: 32 variations each
- Resolution: 512 Γ 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: ? , ' " -
π‘ Text Content
Includes:
- Common words & Pali words
- Signs and short phrases
- Full Myanmar Unicode support
Variety of Myanmar spellings and writings are included
(ααΌααΊαα¬α‘ααΉααα¬αα½α±αα²α· α αα¬αΈαα―αΆαΈαα»αα―αΈα α―αΆαα«αααΊαα«αααΊ)
π¨ 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.
π§© Data Format
Each sample includes:
| Column | Type | Description |
|---|---|---|
image |
image | 512Γ512 Burmese rendered text |
text |
string | Ground truth Burmese label |
style |
string | Style ID (e.g., style_01) |
Example record:
{
"image": "<image>",
"text": "ααΌααΊαα¬ααα―ααΊααΆ",
"style": "style_07"
}
π§ͺ Usage
from datasets import load_dataset
ds = load_dataset("kalixlouiis/MyanmarOCR-ImageText", split="train")
print(ds[0])
ds[0]["image"].show()
π― Intended Purposes
- Burmese OCR training
- Scene text model finetuning
- Vision-language pretraining
- Synthetic-to-real text recognition research
- Benchmark for Myanmar multimodal AI
β οΈ Limitations
- Synthetic images only β not real photos/signboards
- No English text or punctuation
- No complex layout structures (single word/short text per image)
π License
This dataset is released under the Creative Commons Attribution 4.0 International (CC-BY-4.0) license.
You are free to:
- β Share β copy and redistribute for any purpose
- β Adapt β modify, transform, and build upon the data
As long as you:
- Give appropriate credit
- Indicate changes
- Provide a link to the license
π License Text: https://creativecommons.org/licenses/by/4.0/
β¨ Acknowledgment
Created by @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:
π https://huggingface.co/datasets/kalixlouiis/MyanmarOCR-ImageText
π Citation
@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}
}
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