digital_signatures / README.md
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metadata
language:
  - en
license: mit
pretty_name: Digital Signatures Dataset
tags:
  - digital-signatures
  - synthetic-data
  - image-classification
  - computer-vision
task_categories:
  - image-classification
  - zero-shot-image-classification
  - image-feature-extraction
size_categories:
  - 1K<n<10K

Digital Signatures Dataset

This dataset contains unique synthetic digital signatures rendered in different fonts:

  • 4,000 synthetic signatures in Rage font Rage font sample
  • 4,000 synthetic signatures in Mistral font
    Mistral font sample
  • 2,000 synthetic signatures in Arial Unicode font Arial Unicode font sample

Purpose

For the development of models that can detect digital signatures in documentation using the publicly available Docusign® font styles.

Structure

The dataset is organized into three folders:

  • rage/ - Contains synthetic signatures rendered in Rage font
  • mistral/ - Contains synthetic signatures rendered in Mistral font
  • arial_unicode/ - Contains synthetic signatures rendered in Arial Unicode font

Each image follows the naming convention: {font_name}_{index:04d}.jpg Examples:

  • rage_0000.jpg
  • mistral_0001.jpg
  • arial_unicode_0002.jpg

Total dataset size: 10,000 signature images

Usage

This dataset can be used for:

  • Training signature verification models
  • Testing font recognition systems
  • Developing digital document processing pipelines

License

This dataset is released under the MIT license.

Citation

If you use this dataset in your research, please cite:

@dataset{digital_signatures,
  author = {Benjy},
  title = {Digital Signatures Dataset},
  year = {2024},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/Benjy/digital_signatures}
}

Acknowledgments

This dataset was created to support research in digital signature verification and synthesis, while acknowledging the limitations of publicly available font alternatives to proprietary signature systems.

Credit to https://github.com/elifiner for the open source list of random names.