Handwritten Arabic Numerals (0-9) Image Dataset

This dataset contains images of handwritten Arabic numerals ranging from 0 to 9. It comprises a total of 9350 samples, with 935 images for each numeral class. The images were collected from various individuals to ensure diversity in handwriting styles.

Key Features:

Classes: 10 (Arabic numerals 0-9)
Total Samples: 9350
Samples per Class: 935
Image Format: Grayscale
Image Size: 28x28 pixels (adjust if different)
Data Collection and Labeling:

The dataset was created by collecting handwritten numerals from participants with different handwriting styles.
Each image was manually labeled to ensure accurate and consistent annotations.
The data collection and labeling process was meticulously carried out by one of the authors.
Usage:

This dataset is suitable for training and testing machine learning models for handwritten digit recognition. It can be used in various applications such as optical character recognition (OCR) systems, pattern recognition, and other related fields.

Contributors:

Author 1: Conducted the data collection and labeling process, ensuring accurate and consistent annotations for all samples.
Author 2: Handled the data labelling process.
Acknowledgments:

We would like to thank all the participants who contributed their handwritten numerals for this dataset.

License:

CC BY NC 3.0
You are free to adapt, copy or redistribute the material, providing you attribute appropriately and do not use the material for commercial purposes.