Tamazight/Tifinagh-OCR-39K

Tifinagh OCR Dataset (39k Synthetic Samples)

📌 Description

This dataset is a comprehensive collection of 39,104 synthetic images designed for training and evaluating OCR and vision-language models for the Tifinagh script. It features a wide variety of fonts, background colors, and text styles in a rectangular format.

📊 Dataset Composition

• 39,1K images in PNG format.
• Diversity: Includes multiple background/text color combinations and various font styles (from: IRCAM, Tawalt, Madghis Madi).
• Format: Optimized rectangular images (Dynamic scaling with centered text).

🧩 Features

Each sample in the metadata.jsonl contains:

• file_name: Path to the image file.
• text: Ground-truth Tifinagh transcription.
• background_color: Color of the image background.
• text_color: Color of the rendered text.
• pic_ID: Unique image identifier.

The metadata has been shuffled randomly to allow a diverse preview of different fonts and styles in the Hugging Face dataset explorer.

🎯 Use Cases

• Tifinagh OCR training and evaluation.
• Document understanding for Amazigh languages.
• Vision-language model validation.
• Robustness testing across different typographic styles.

🛠 Usage

from datasets import load_dataset

dataset = load_dataset("Tamazight/Tifinagh-OCR-39K")

sample = dataset["train"][0]
print(sample["text"])
sample["image"].show()

📜 Metadata & Credits

• Creation Year: 2024
• License: apache-2.0
• Creator: Aksel Tinfat for @Tamazight project on Hugging Face.