Datasets:
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README.md
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license: cc-by-4.0
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language:
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- km
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task_categories:
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- object-detection
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tags:
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- 10K<n<100K
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---
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#
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A large-scale, multi-source dataset for **
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Combines real scene text, document layout images, and synthetically generated Khmer document images.
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## Data Sources
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### 1. Real Scene Text
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Images captured in natural environments — street signs, storefronts, billboards, and handwritten Khmer documents.
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Derived from the **DonkeySmall** base dataset (~26K images).
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### 2. Document Layout
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Images from the **DocLayNet**
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Covers
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### 3. Synthetic Khmer Documents
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Programmatically generated document images using custom Khmer text rendering pipelines.
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Fonts, sizes, backgrounds, and layouts are randomised. Labels are auto-generated (zero annotation cost).
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[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) — free to use, share, and adapt with attribution.
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---
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## Citation
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```bibtex
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@dataset{khmer_text_detection_ultimate,
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title = {Khmer Text Detection — Ultimate Dataset},
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year = {2025},
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url = {https://huggingface.co/datasets/Darayut/Multilingual-Textline-Detection-Dataset}
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}
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```
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license: cc-by-4.0
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language:
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- km
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- en
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task_categories:
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- object-detection
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tags:
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- 10K<n<100K
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---
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# Textline Detection — Ultimate Dataset
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A large-scale, multi-source dataset for **textline detection** using YOLO-format bounding box annotations.
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Combines real scene text, document layout images, and synthetically generated Khmer document images.
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---
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## Data Sources
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### 1. Real Scene Text
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Images captured in natural environments — street signs, storefronts, billboards, and handwritten Khmer documents.
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Derived from the **DonkeySmall** base dataset (~26K images).
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### 2. Document Layout
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Images from the **DocLayNet** multi-class document layout corpus, re-labelled for the two-class schema.
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Covers documents: official reports, newspapers, and books.
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### 3. Synthetic Khmer Documents
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Programmatically generated document images using custom Khmer text rendering pipelines.
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Fonts, sizes, backgrounds, and layouts are randomised. Labels are auto-generated (zero annotation cost).
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[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) — free to use, share, and adapt with attribution.
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