DIGITal (Digitally Generated Numerals)
Introduced by Fateh et al. in Advancing Multilingual Handwritten Numeral Recognition with Attention-driven Transfer Learning
Digitally Generated Numerals (DIGITal)
Description
The Digitally Generated Numerals (DIGITal) dataset consists of 100,000 image pairs representing digits from 0 to 9. These image pairs include both low and high-quality versions, with a resolution of 128x128 pixels.
Languages
The dataset is generated from fonts in the following languages:
- Arabic
- Chinese (Simplified)
- Farsi and Urdu
- Gurmukhi
- Gujarati
- Tibetan
- ARDIS (Sweden)
- ISI Bangla
- Bangla Lekha
- Kannada
- English
Image Resolution
- resolution: 128x128 pixels
Image Pairs
- Each digit (0 to 9) has 1000 associated images.
Total Images
- Total images: 100,000
Samples
| !Image 1 | !Image 2 | !Image 3 | !Image 4 | !Image 5 | |:-----------------------:|:-----------------------:| | Arabic | ARDIS | Chinese | Farsi & Urdu | Gujarati |
| !Image 5 | !Image 6 | !Image 7 | !Image 8 | !Image 5 | |:-----------------------:|:-----------------------:| | ISI Bangla & BanglaLekha | Kannada | Tibetan | English | Gurmukhi
This dataset is a valuable resource for tasks related to digit recognition, font analysis, and super-resolution. Researchers and practitioners can utilize it for various applications in computer vision and machine learning.
Papers
| Paper | Code | Results | Date | Stars |
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