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aCROne
aCROne is a synthetic OCR dataset generated with a Python-based image generator for training and evaluating OCR models.
Dataset
The dataset contains synthetic images of:
- words
- sentences
- random characters
Samples are generated using multiple visual styles:
- clean
- printed
- handwritten
- distorted
- cursed
Images can contain different fonts, backgrounds, noise, rotations, scaling, brightness/contrast changes, and CAPTCHA-like distortions.
The dataset contains approximately 500,000 images.
Data format
Each sample contains an image and its corresponding text transcription.
The dataset is split into:
train.jsonval.json
Each record contains:
{
"image": "example_0000001.webp",
"style": "clean",
"text": "example"
}
Intended use
aCROne is intended for:
- OCR model training
- OCR evaluation
- computer vision experiments
- synthetic data generation research
License
MIT
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