| --- |
| license: apache-2.0 |
| language: |
| - ru |
| - en |
| - es |
| - fr |
| - de |
| - it |
| - pt |
| - zh |
| - ja |
| - ko |
| task_categories: |
| - image-to-text |
| - text-to-image |
| task_ids: |
| - image-captioning |
| tags: |
| - synthetic |
| - text |
| - multilingual |
| - image-captioning |
| - computer-vision |
| - ocr |
| - text-recognition |
| - generated |
| size_categories: |
| - 100K<n<1M |
| pretty_name: TextSynth-100k |
| --- |
| |
| # TextSynth-100k |
|
|
| A synthetic dataset for training image captioning and text recognition (OCR) models. 100,000 images with text in 10 languages, in different colors, fonts, and on different backgrounds. |
|
|
| ## What's inside |
|
|
| - **100,000 images** sized 224×224, JPG format. |
| - **200 unique texts** in 10 languages. |
| - **30 text colors** and **12 background colors**. |
| - **Various Windows fonts**: Arial, Times New Roman, Courier New, Calibri, Cambria, Georgia, and others. |
| - **Different font sizes** — from 28 to 90 pt. |
| - **Text rotations**: 0°, ±15°, ±30°. |
| - **Captions** in the format: `the text <text> is written in <color> on a <background> background`. |
|
|
| ## Languages |
|
|
| | Language | Example | |
| |----------|---------| |
| | Russian | привет, мир, кот, собака, дом | |
| | English | hello, world, cat, dog, house | |
| | Spanish | hola, mundo, gato, perro, casa | |
| | French | bonjour, monde, chat, chien, maison | |
| | German | hallo, welt, katze, hund, haus | |
| | Italian | ciao, mondo, gatto, cane, casa | |
| | Portuguese | olá, mundo, gato, cachorro, casa | |
| | Chinese | 你好, 世界, 猫, 狗, 房子 | |
| | Japanese | こんにちは, 世界, 猫, 犬, 家 | |
| | Korean | 안녕, 세계, 고양이, 개, 집 | |
|
|
| ## Structure |
