| --- |
| license: cc-by-nc-4.0 |
| task_categories: |
| - image-classification |
| language: [en, fr, es, tr, az, uz, ru, kk, ky, ar, zh] |
| size_categories: |
| - 1M<n<10M |
| tags: |
| - document-analysis |
| - font-recognition |
| - script-identification |
| - typography |
| models: |
| - issai/FontID |
| datasets: |
| - issai/kazparc |
| --- |
| |
| # DataFontID |
|
|
| A stratified synthetic corpus of **1,199,562** zero-margin text strips for multi-attribute typographic recognition. Every image carries four labels: font family, language, text color, and typographic style. |
|
|
| | | | |
| |---|---| |
| | Images | 1,199,562 (1,079,605 train / 59,978 val / 59,979 test) | |
| | Font families | 75 | |
| | Languages | 11 across Latin, Cyrillic, Arabic, and Han scripts | |
| | Colors | 64 (EGA palette) | |
| | Styles | Regular, Bold, Italic, Bold-Italic | |
| | Backgrounds | Texture, Noise, Complex, Document, Solid | |
| | Geometry | Zero-margin strips matching OCR extraction, variable aspect ratio | |
|
|
| Existing font corpora render text onto fixed square canvases. OCR engines emit tightly cropped strips with variable aspect ratios, so models trained on square canvases face a domain shift at inference. DataFontID renders into strips bounded by precise font metrics, matching the geometry produced at extraction time. |
|
|
| ## Splits |
|
|
| The split is defined on the source pools before rendering, so no sentence and no background image seen during training appears in either evaluation split. |
|
|
| ## Related resources |
|
|
| - Model: [issai/FontID](https://huggingface.co/issai/FontID) |
| - Real-world benchmark: [issai/Wild1024](https://huggingface.co/datasets/issai/Wild1024) |
|
|
| ## Licensing |
|
|
| The DataFontID annotations, rendering pipeline, and synthesized text are released |
| under CC BY-NC 4.0. Background imagery for the Texture, Noise, and Complex |
| categories derives from the Describable Textures Dataset, which its authors make |
| available to the computer vision community for research purposes; users should |
| observe those terms for the background content. Text is drawn from KazParC and |
| CulturaX. The corpus contains rendered raster images only and no font binaries. |
|
|
| ## Citation |
|
|
| Paper is coming soon. |
