Dataset Title: Handwritten English Characters and Digits Dataset

Overview

This dataset contains a diverse collection of handwritten English characters and digits, including uppercase letters (A-Z), lowercase letters (a-z), and numerical digits (0-9). It is designed to support research and development in the field of optical character recognition (OCR), handwriting recognition, and machine learning.

The images are labelled and organized into their respective sub-classes in the train and test directories.

Content

Number of Classes: 62 (26 uppercase letters, 26 lowercase letters, and 10 digits)

File Information

The uploaded ZIP file contains the dataset organized as follows:

• train/: Contains images for training, organized into subdirectories for each character class.

  • Each subdirectory corresponds to a specific character (e.g., A, b, 3).

• test/: Contains images for testing, organized similarly to the train/ directory.

File Format: PNG
Image Size: 1200x900 pixels
File Size: Each image is less than 20 KB.

Purpose

The dataset is intended for:

• Training and Evaluating OCR Models: Use this dataset to train and assess models for recognizing handwritten text.
• Developing Handwriting Recognition Systems: Improve systems for reading handwritten documents and forms.
• Benchmarking: Compare performance across different algorithms and models.

Usage

• Machine Learning: Ideal for training classification models and conducting experiments in handwriting recognition.
• Data Augmentation: Utilize for data augmentation techniques to enhance model robustness.
• Feature Extraction: Analyze handwritten characters for feature extraction and pattern recognition.

Acknowledgments

Original Dataset: English Handwritten Characters Dataset

Contact Information

For inquiries or further information, please contact: sujay2004mann@gmail.com

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