Myanmar Synthetic Syllable Glyphs: 14.3M Augmented Burmese Script Images

Myanmar Synthetic Syllable Glyphs (MSSG) is a massive-scale, high-fidelity synthetic image dataset containing 14,295,552 heavily augmented glyph images. The images are 128x64 pixels in grayscale and represent the structural combinatorial matrix of the Burmese script. It was developed by Khant Sint Heinn and is published and maintained by DatarrX.

Use Cases

• Train OCR models for Burmese script based on the synthetic glyph images.
• Benchmark font recognition or glyph classification algorithms using the combinatorial matrix of characters.
• Generate synthetic training data for document analysis systems targeting Myanmar language documents.
• Study the effects of heavy data augmentation on model performance for script recognition.

Strengths

• Contains 14,295,552 images, indicating a large-scale resource.
• Images are described as high-fidelity and heavily augmented.
• Represents the structural combinatorial matrix of the Burmese script, suggesting systematic coverage.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

DatarrX (Myanmar Open Source Organization, NPO)

Collection Method

Synthetically generated and engineered.

Freshness

Last updated 2026-05-19 17:21:02; freshness should be verified.