sl4shuur/handwriting-signatures-dataset

A dataset of handwritten signatures with text prompts, designed for LoRA fine-tuning of diffusion models to generate realistic personal signatures.

Handwritten Signatures Dataset (Processed)

This dataset contains preprocessed handwritten signatures designed for signature verification and LoRA fine-tuning of diffusion models (e.g., Stable Diffusion) for text-to-image tasks.

📌 Processing steps

1. 1.Labeling – assigned using computer vision and AI models to group signatures by name.
2. 2.Preprocessing with OpenCV – cleaning, cropping, centering, and resizing to 256×256.
3. 3.Manual filtering – removal of low-quality or noisy samples.

📂 Structure

• —.png files — signature images.
• —metadata.jsonl — annotation file mapping each image to its label.

🚀 Usage

Example loading with datasets:

from datasets import load_dataset

ds = load_dataset("sl4shuur/handwriting-signatures-dataset", split="train")
print(ds[0])

Each sample contains:

• —image: PIL image object (signature image, 256×256).
• —text: text prompt describing the signature (e.g., "signaturegen style: Close-up of B. Navya's handwritten signature in black ink on white").

🔖 Notes

• —Original raw data: Kaggle Signature Verification Dataset.
• —This version is heavily processed and cleaned for research and generative tasks.
• —License is set to CC-BY-NC-4.0 (non-commercial use only).