Handwritten Digit Recognition Dataset

Table of Contents

• Overview
• Dataset Structure
• Reference
• License

Overview

This dataset contains images of handwritten digits from 0 to 9. It is designed for the Handwritten Digit Recognition Challenge, enabling participants to build and evaluate multi-class image classification models for recognizing handwritten digits.

Property	Value
Total samples	10000
Training samples	7000
Test samples	3000
Classes	10 (0 to 9)

Dataset Structure

Clone the repository:

git clone [email protected]:AIOZAI/handwritten_digit_dataset.git

Or download directly: Hand Written Digit Data

Files

Folder	Samples	Description
data/train/	7000 Images	Images with labels in ground_truth.csv
data/test/	3000 Images	Images reserved for public scoring and evaluation

Data Fields

The ground_truth.csv file contains the labels for the training images:

Field	Type	Description
id	string	The unique identifier for each image
digit	integer	The target class (0 to 9)

Example: ground_truth.csv

id,digit
000039d3a3924cba84e8098d6bdd6951.png,0
0019e9a6ca414f7ab1456c0f0b578e64.png,3

Reference

For more information about the dataset, please visit the Kaggle dataset page.

License

This dataset is released under the Creative Commons Attribution-ShareAlike 4.0 International License (CC BY-SA 4.0).