Synthetic Myanmar Text Images for Optical Character Recognition Training

A synthetic dataset for training Optical Character Recognition models on the Myanmar language. The images were generated using a fork of TextRecognitionDataGenerator with fixes for Myanmar character splitting. The dataset was created by chuuhtetnaing and last updated on May 17, 2025.

Use Cases

• Fine-tuning OCR models for Myanmar text based on synthetically generated images.
• Benchmarking text recognition performance on Myanmar scripts.
• Training data augmentation for low-resource language OCR tasks.

Strengths

• Dataset is specifically designed for the Myanmar language, addressing a niche OCR need.
• Synthetic generation method likely provides controlled variation and ground truth for training.

Limitations

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

Provenance

Source

huggingface

Collection Method

Synthetically generated using myanmar-ocr-data-generator, a fork of TextRecognitionDataGenerator.

Freshness

Last updated 2025-05-17 06:12:50; freshness should be verified.

Geography

Myanmar (language focus)