km_en_image_line / README.md
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---
dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: train
num_bytes: 26163114415
num_examples: 6497555
- name: val
num_bytes: 2166258930
num_examples: 781722
download_size: 28216796784
dataset_size: 28329373345
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: val
path: data/val-*
license: cc-by-4.0
task_categories:
- image-to-text
language:
- km
- en
size_categories:
- 1M<n<10M
pretty_name: KM-EN-OCR-Lines
---
# Khmer-English Image Line Dataset πŸ“„
A large-scale synthetic dataset for training OCR models on **Khmer and English** text. This dataset contains **5 million** high-quality synthetic images of text lines.
## 🎯 Dataset Overview
- **Languages**: Khmer, English, and mixed
- **Format**: Image-text pairs
- **Use Case**: OCR model training
## πŸ“‹ Data Fields
- **image**: PIL Image of the text line
- **text**: Ground truth text string
## πŸ’Ύ Usage
### Load with Hugging Face
```python
from datasets import load_dataset
dataset = load_dataset("mrrtmob/km_en_image_line")
# Access an example
example = dataset['train'][0]
image = example['image'] # PIL Image
text = example['text'] # str
```
### Train with Kiri OCR
```bash
kiri-ocr train \
--hf-dataset mrrtmob/km_en_image_line \
--epochs 50 \
--batch-size 32
```
## 🎨 Dataset Features
- Multiple Khmer and English fonts
- Light and dark backgrounds
- Realistic augmentations (noise, blur, rotation)
- Variable text lengths (5-100 characters)
## πŸ“š Citation
```bibtex
@dataset{km_en_image_line,
author = {mrrtmob},
title = {Khmer-English Image Line Dataset},
year = {2026},
publisher = {Blizzer},
howpublished = {\url{https://huggingface.co/datasets/mrrtmob/km_en_image_line}}
}
```
## βš–οΈ License
CC BY 4.0
## πŸ”— Related
- **Kiri OCR Library**: [github.com/mrrtmob/kiri-ocr](https://github.com/mrrtmob/kiri-ocr)
## β˜• Support
- [Buy Me a Coffee](https://buymeacoffee.com/tmob)
- [ABA Payway](https://link.payway.com.kh/ABAPAYfd4073965)